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Dragonchain Public Proposal TL;DR:Dragonchain has demonstrated twice Reddit’s entire total daily volume (votes, comments, and posts per Reddit 2019 Year in Review) in a 24-hour demo on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. At the time, in January 2020, the entire cost of the demo was approximately $25K on a single system (transaction fees locked at $0.0001/txn). With current fees (lowest fee $0.0000025/txn), this would cost as little as $625.
Watch Joe walk through the entire proposal and answer questions on YouTube.
This proposal is also available on the Dragonchain blog.
Hello Reddit and Ethereum community!I’m Joe Roets, Founder & CEO of Dragonchain. When the team and I first heard about The Great Reddit Scaling Bake-Off we were intrigued. We believe we have the solutions Reddit seeks for its community points system and we have them at scale.
For your consideration, we have submitted our proposal below. The team at Dragonchain and I welcome and look forward to your technical questions, philosophical feedback, and fair criticism, to build a scaling solution for Reddit that will empower its users. Because our architecture is unlike other blockchain platforms out there today, we expect to receive many questions while people try to grasp our project. I will answer all questions here in this thread on Reddit, and I've answered some questions in the stream on YouTube.
We have seen good discussions so far in the competition. We hope that Reddit’s scaling solution will emerge from The Great Reddit Scaling Bake-Off and that Reddit will have great success with the implementation.
Executive summaryDragonchain is a robust open source hybrid blockchain platform that has proven to withstand the passing of time since our inception in 2014. We have continued to evolve to harness the scalability of private nodes, yet take full advantage of the security of public decentralized networks, like Ethereum. We have a live, operational, and fully functional Interchain network integrating Bitcoin, Ethereum, Ethereum Classic, and ~700 independent Dragonchain nodes. Every transaction is secured to Ethereum, Bitcoin, and Ethereum Classic. Transactions are immediately usable on chain, and the first decentralization is seen within 20 seconds on Dragon Net. Security increases further to public networks ETH, BTC, and ETC within 10 minutes to 2 hours. Smart contracts can be written in any executable language, offering full freedom to existing developers. We invite any developer to watch the demo, play with our SDK’s, review open source code, and to help us move forward. Dragonchain specializes in scalable loyalty & rewards solutions and has built a decentralized social network on chain, with very affordable transaction costs. This experience can be combined with the insights Reddit and the Ethereum community have gained in the past couple of months to roll out the solution at a rapid pace.
Response and PoCIn The Great Reddit Scaling Bake-Off post, Reddit has asked for a series of demonstrations, requirements, and other considerations. In this section, we will attempt to answer all of these requests.
A live proof of concept showing hundreds of thousands of transactionsOn Jan 7, 2020, Dragonchain hosted a 24-hour live demonstration during which a quarter of a billion (250 million+) transactions executed fully on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. This means that every single transaction is secured by, and traceable to these networks. An attack on this system would require a simultaneous attack on all of the Interchained networks.
24 hours in 4 minutes (YouTube):
24 hours in 4 minutes
The demonstration was of a single business system, and any user is able to scale this further, by running multiple systems simultaneously. Our goals for the event were to demonstrate a consistent capacity greater than that of Visa over an extended time period.
Tooling to reproduce our demo is available here:
Source code (for on & off-chain components as well tooling used for the PoC). The source code does not have to be shared publicly, but if Reddit decides to use a particular solution it will need to be shared with Reddit at some point.
How it works & scales
Architectural ScalingDragonchain’s architecture attacks the scalability issue from multiple angles. Dragonchain is a hybrid blockchain platform, wherein every transaction is protected on a business node to the requirements of that business or purpose. A business node may be held completely private or may be exposed or replicated to any level of exposure desired.
Every node has its own blockchain and is independently scalable. Dragonchain established Context Based Verification as its consensus model. Every transaction is immediately usable on a trust basis, and in time is provable to an increasing level of decentralized consensus. A transaction will have a level of decentralization to independently owned and deployed Dragonchain nodes (~700 nodes) within seconds, and full decentralization to BTC and ETH within minutes or hours. Level 5 nodes (Interchain nodes) function to secure all transactions to public or otherwise external chains such as Bitcoin and Ethereum. These nodes scale the system by aggregating multiple blocks into a single Interchain transaction on a cadence. This timing is configurable based upon average fees for each respective chain. For detailed information about Dragonchain’s architecture, and Context Based Verification, please refer to the Dragonchain Architecture Document.
Economic ScalingAn interesting feature of Dragonchain’s network consensus is its economics and scarcity model. Since Dragon Net nodes (L2-L4) are independent staking nodes, deployment to cloud platforms would allow any of these nodes to scale to take on a large percentage of the verification work. This is great for scalability, but not good for the economy, because there is no scarcity, and pricing would develop a downward spiral and result in fewer verification nodes. For this reason, Dragonchain uses TIME as scarcity.
TIME is calculated as the number of Dragons held, multiplied by the number of days held. TIME influences the user’s access to features within the Dragonchain ecosystem. It takes into account both the Dragon balance and length of time each Dragon is held. TIME is staked by users against every verification node and dictates how much of the transaction fees are awarded to each participating node for every block.
TIME also dictates the transaction fee itself for the business node. TIME is staked against a business node to set a deterministic transaction fee level (see transaction fee table below in Cost section). This is very interesting in a discussion about scaling because it guarantees independence for business implementation. No matter how much traffic appears on the entire network, a business is guaranteed to not see an increased transaction fee rate.
Scaled DeploymentDragonchain uses Docker and Kubernetes to allow the use of best practices traditional system scaling. Dragonchain offers managed nodes with an easy to use web based console interface. The user may also deploy a Dragonchain node within their own datacenter or favorite cloud platform. Users have deployed Dragonchain nodes on-prem on Amazon AWS, Google Cloud, MS Azure, and other hosting platforms around the world. Any executable code, anything you can write, can be written into a smart contract. This flexibility is what allows us to say that developers with no blockchain experience can use any code language to access the benefits of blockchain. Customers have used NodeJS, Python, Java, and even BASH shell script to write smart contracts on Dragonchain.
With Docker containers, we achieve better separation of concerns, faster deployment, higher reliability, and lower response times.
We chose Kubernetes for its self-healing features, ability to run multiple services on one server, and its large and thriving development community. It is resilient, scalable, and automated. OpenFaaS allows us to package smart contracts as Docker images for easy deployment.
Contract deployment time is now bounded only by the size of the Docker image being deployed but remains fast even for reasonably large images. We also take advantage of Docker’s flexibility and its ability to support any language that can run on x86 architecture. Any image, public or private, can be run as a smart contract using Dragonchain.
Flexibility in ScalingDragonchain’s architecture considers interoperability and integration as key features. From inception, we had a goal to increase adoption via integration with real business use cases and traditional systems.
We envision the ability for Reddit, in the future, to be able to integrate alternate content storage platforms or other financial services along with the token.
Cost estimates (on-chain and off-chain) For the purpose of this proposal, we assume that all transactions are on chain (posts, replies, and votes).On the Dragonchain network, transaction costs are deterministic/predictable. By staking TIME on the business node (as described above) Reddit can reduce transaction costs to as low as $0.0000025 per transaction.
Dragonchain Fees Table
How to run itBuilding on Dragonchain is simple and requires no blockchain experience. Spin up a business node (L1) in our managed environment (AWS), run it in your own cloud environment, or on-prem in your own datacenter. Clear documentation will walk you through the steps of spinning up your first Dragonchain Level 1 Business node.
Getting started is easy...
ArchitectureDragonchain is an open source hybrid platform. Through Dragon Net, each chain combines the power of a public blockchain (like Ethereum) with the privacy of a private blockchain.
Dragonchain organizes its network into five separate levels. A Level 1, or business node, is a totally private blockchain only accessible through the use of public/private keypairs. All business logic, including smart contracts, can be executed on this node directly and added to the chain.
After creating a block, the Level 1 business node broadcasts a version stripped of sensitive private data to Dragon Net. Three Level 2 Validating nodes validate the transaction based on guidelines determined from the business. A Level 3 Diversity node checks that the level 2 nodes are from a diverse array of locations. A Level 4 Notary node, hosted by a KYC partner, then signs the validation record received from the Level 3 node. The transaction hash is ledgered to the Level 5 public chain to take advantage of the hash power of massive public networks.
Dragon Net can be thought of as a “blockchain of blockchains”, where every level is a complete private blockchain. Because an L1 can send to multiple nodes on a single level, proof of existence is distributed among many places in the network. Eventually, proof of existence reaches level 5 and is published on a public network.
APIs (on chain & off)
Known issues or tradeoffs
Costs and resources
Summary of cost & resource information for both on-chain & off-chain components used in the PoC, as well as cost & resource estimates for further scaling. If your PoC is not on mainnet, make note of any mainnet caveats (such as congestion issues).Every transaction on the PoC system had a transaction fee of $0.0001 (one-hundredth of a cent USD). At 256MM transactions, the demo cost $25,600. With current operational fees, the same demonstration would cost $640 USD.
For the demonstration, to achieve throughput to mimic a worldwide payments network, we modeled several clients in AWS and 4-5 business nodes to handle the traffic. The business nodes were tuned to handle higher throughput by adjusting memory and machine footprint on AWS. This flexibility is valuable to implementing a system such as envisioned by Reddit. Given that Reddit’s daily traffic (posts, replies, and votes) is less than half that of our demo, we would expect that the entire Reddit system could be handled on 2-5 business nodes using right-sized containers on AWS or similar environments.
Verification was accomplished on the operational Dragon Net network with over 700 independently owned verification nodes running around the world at no cost to the business other than paid transaction fees.
This PoC should scale to the numbers below with minimal costs (both on & off-chain). There should also be a clear path to supporting hundreds of millions of users.During Dragonchain’s 24 hour demo, the above required numbers were reached within the first few minutes.
Reddit’s total activity is 9000% more than Ethereum’s total transaction level. Even if you do not include votes, it is still 700% more than Ethereum’s current volume. Dragonchain has demonstrated that it can handle 250 million transactions a day, and it’s architecture allows for multiple systems to work at that level simultaneously. In our PoC, we demonstrate double the full capacity of Reddit, and every transaction was proven all the way to Bitcoin and Ethereum.
Reddit Scaling on Ethereum
Solutions should not depend on any single third-party provider. We prefer solutions that do not depend on specific entities such as Reddit or another provider, and solutions with no single point of control or failure in off-chain components but recognize there are numerous trade-offs to considerDragonchain’s architecture calls for a hybrid approach. Private business nodes hold the sensitive data while the validation and verification of transactions for the business are decentralized within seconds and secured to public blockchains within 10 minutes to 2 hours. Nodes could potentially be controlled by owners of individual subreddits for more organic decentralization.
Usability Scaling solutions should have a simple end user experience.
Users shouldn't have to maintain any extra state/proofs, regularly monitor activity, keep track of extra keys, or sign anything other than their normal transactionsDragonchain and its customers have demonstrated extraordinary usability as a feature in many applications, where users do not need to know that the system is backed by a live blockchain. Lyceum is one of these examples, where the progress of academy courses is being tracked, and successful completion of courses is rewarded with certificates on chain. Our @Save_The_Tweet bot is popular on Twitter. When used with one of the following hashtags - #please, #blockchain, #ThankYou, or #eternalize the tweet is saved through Eternal to multiple blockchains. A proof report is available for future reference. Other examples in use are DEN, our decentralized social media platform, and our console, where users can track their node rewards, view their TIME, and operate a business node.
Transactions complete in a reasonable amount of time (seconds or minutes, not hours or days)All transactions are immediately usable on chain by the system. A transaction begins the path to decentralization at the conclusion of a 5-second block when it gets distributed across 5 separate community run nodes. Full decentralization occurs within 10 minutes to 2 hours depending on which interchain (Bitcoin, Ethereum, or Ethereum Classic) the transaction hits first. Within approximately 2 hours, the combined hash power of all interchained blockchains secures the transaction.
Free to use for end users (no gas fees, or fixed/minimal fees that Reddit can pay on their behalf)With transaction pricing as low as $0.0000025 per transaction, it may be considered reasonable for Reddit to cover transaction fees for users.
All of Reddit's Transactions on Blockchain (month)
Community points can be earned by users and distributed directly to their Reddit account in batch (as per Reddit minting plan), and allow users to withdraw rewards to their Ethereum wallet whenever they wish. Withdrawal fees can be paid by either user or Reddit. This model has been operating inside the Dragonchain system since 2018, and many security and financial compliance features can be optionally added. We feel that this capability greatly enhances user experience because it is seamless to a regular user without cryptocurrency experience, yet flexible to a tech savvy user. With regard to currency or token transactions, these would occur on the Reddit network, verified to BTC and ETH. These transactions would incur the $0.0000025 transaction fee. To estimate this fee we use the monthly active Reddit users statista with a 60% adoption rate and an estimated 10 transactions per month average resulting in an approximate $720 cost across the system. Reddit could feasibly incur all associated internal network charges (mining/minting, transfer, burn) as these are very low and controllable fees.
Reddit Internal Token Transaction Fees
Reddit Ethereum Token Transaction Fees
When we consider further the Ethereum fees that might be incurred, we have a few choices for a solution.
Users should be able to view their balances & transactions via a blockchain explorer-style interfaceFrom interfaces for users who have no knowledge of blockchain technology to users who are well versed in blockchain terms such as those present in a typical block explorer, a system powered by Dragonchain has flexibility on how to provide balances and transaction data to users. Transactions can be made viewable in an Eternal Proof Report, which displays raw data along with TIME staking information and traceability all the way to Bitcoin, Ethereum, and every other Interchained network. The report shows fields such as transaction ID, timestamp, block ID, multiple verifications, and Interchain proof. See example here.
Node payouts within the Dragonchain console are listed in chronological order and can be further seen in either Dragons or USD. See example here.
In our social media platform, Dragon Den, users can see, in real-time, their NRG and MTR balances. See example here.
A new influencer app powered by Dragonchain, Raiinmaker, breaks down data into a user friendly interface that shows coin portfolio, redeemed rewards, and social scores per campaign. See example here.
Exiting is fast & simpleWithdrawing funds on Dragonchain’s console requires three clicks, however, withdrawal scenarios with more enhanced security features per Reddit’s discretion are obtainable.
Interoperability Compatibility with third party apps (wallets/contracts/etc) is necessary.Proven interoperability at scale that surpasses the required specifications. Our entire platform consists of interoperable blockchains connected to each other and traditional systems. APIs are well documented. Third party permissions are possible with a simple smart contract without the end user being aware. No need to learn any specialized proprietary language. Any code base (not subsets) is usable within a Docker container. Interoperable with any blockchain or traditional APIs. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js. Please see our source code and API documentation.
Scaling solutions should be extensible and allow third parties to build on top of it Open source and extensible
Documentation should be clear and completeFor full documentation, explore our docs, SDK’s, Github repo’s, architecture documents, original Disney documentation, and other links or resources provided in this proposal.
Third-party permissionless integrations should be possible & straightforward Smart contracts are Docker based, can be written in any language, use full language (not subsets), and can therefore be integrated with any system including traditional system APIs. Simple is better. Learning an uncommon or proprietary language should not be necessary.Advanced knowledge of mathematics, cryptography, or L2 scaling should not be required. Compatibility with common utilities & toolchains is expected.
Dragonchain business nodes and smart contracts leverage Docker to allow the use of literally any language or executable code. No proprietary language is necessary. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js.
Bonus Points: Show us how it works. Do you have an idea for a cool new use case for Community Points? Build it!
TIMECommunity points could be awarded to Reddit users based upon TIME too, whereas the longer someone is part of a subreddit, the more community points someone naturally gained, even if not actively commenting or sharing new posts. A daily login could be required for these community points to be credited. This grants awards to readers too and incentivizes readers to create an account on Reddit if they browse the website often. This concept could also be leveraged to provide some level of reputation based upon duration and consistency of contribution to a community subreddit.
Dragon DenDragonchain has already built a social media platform that harnesses community involvement. Dragon Den is a decentralized community built on the Dragonchain blockchain platform. Dragon Den is Dragonchain’s answer to fake news, trolling, and censorship. It incentivizes the creation and evaluation of quality content within communities. It could be described as being a shareholder of a subreddit or Reddit in its entirety. The more your subreddit is thriving, the more rewarding it will be. Den is currently in a public beta and in active development, though the real token economy is not live yet. There are different tokens for various purposes. Two tokens are Lair Ownership Rights (LOR) and Lair Ownership Tokens (LOT). LOT is a non-fungible token for ownership of a specific Lair. LOT will only be created and converted from LOR.
Energy (NRG) and Matter (MTR) work jointly. Your MTR determines how much NRG you receive in a 24-hour period. Providing quality content, or evaluating content will earn MTR.
Security. Users have full ownership & control of their points.All community points awarded based upon any type of activity or gift, are secured and provable to all Interchain networks (currently BTC, ETH, ETC). Users are free to spend and withdraw their points as they please, depending on the features Reddit wants to bring into production.
Balances and transactions cannot be forged, manipulated, or blocked by Reddit or anyone elseUsers can withdraw their balance to their ERC20 wallet, directly through Reddit. Reddit can cover the fees on their behalf, or the user covers this with a portion of their balance.
Users should own their points and be able to get on-chain ERC20 tokens without permission from anyone elseThrough our console users can withdraw their ERC20 rewards. This can be achieved on Reddit too. Here is a walkthrough of our console, though this does not show the quick withdrawal functionality, a user can withdraw at any time. https://www.youtube.com/watch?v=aNlTMxnfVHw
Points should be recoverable to on-chain ERC20 tokens even if all third-parties involved go offlineIf necessary, signed transactions from the Reddit system (e.g. Reddit + Subreddit) can be sent to the Ethereum smart contract for minting.
A public, third-party review attesting to the soundness of the design should be availableTo our knowledge, at least two large corporations, including a top 3 accounting firm, have conducted positive reviews. These reviews have never been made public, as Dragonchain did not pay or contract for these studies to be released.
Bonus pointsSee above
Compatibility with HSMs & hardware walletsFor the purpose of this proposal, all tokenization would be on the Ethereum network using standard token contracts and as such, would be able to leverage all hardware wallet and Ethereum ecosystem services.
Minting/distributing tokens is not performed by Reddit directlyThis operation can be automated by smart contract on Ethereum. Subreddits can if desired have a role to play.
One off point burning, as well as recurring, non-interactive point burning (for subreddit memberships) should be possible and scalableThis is possible and scalable with interaction between Dragonchain Reddit system and Ethereum token contract(s).
Fully open-source solutions are strongly preferredDragonchain is fully open source (see section on Disney release after conclusion).
ConclusionWhether it is today, or in the future, we would like to work together to bring secure flexibility to the highest standards. It is our hope to be considered by Ethereum, Reddit, and other integrative solutions so we may further discuss the possibilities of implementation. In our public demonstration, 256 million transactions were handled in our operational network on chain in 24 hours, for the low cost of $25K, which if run today would cost $625. Dragonchain’s interoperable foundation provides the atmosphere necessary to implement a frictionless community points system. Thank you for your consideration of our proposal. We look forward to working with the community to make something great!
Disney Releases Blockchain Platform as Open SourceThe team at Disney created the Disney Private Blockchain Platform. The system was a hybrid interoperable blockchain platform for ledgering and smart contract development geared toward solving problems with blockchain adoption and usability. All objective evaluation would consider the team’s output a success. We released a list of use cases that we explored in some capacity at Disney, and our input on blockchain standardization as part of our participation in the W3C Blockchain Community Group.
Open SourceIn 2016, Roets proposed to release the platform as open source to spread the technology outside of Disney, as others within the W3C group were interested in the solutions that had been created inside of Disney.
Following a long process, step by step, the team met requirements for release. Among the requirements, the team had to:
The Disney Open Source Committee approved the application known as OSSRELEASE-10, and the code was released on October 2, 2016. Disney decided to not issue a press release.
Original OSSRELASE-10 document
Dragonchain FoundationThe Dragonchain Foundation was created on January 17, 2017. https://den.social/l/Dragonchain/24130078352e485d96d2125082151cf0/dragonchain-and-disney/
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We are excited to participate and present Syscoin Platform's ideal characteristics and capabilities towards a well-rounded Reddit Community Points solution!
Our scaling solution for Reddit Community Points involves 2-way peg interoperability with Ethereum. This will provide a scalable token layer built specifically for speed and high volumes of simple value transfers at a very low cost, while providing sovereign ownership and onchain finality.
Token transfers scale by taking advantage of a globally sorting mempool that provides for probabilistically secure assumptions of “as good as settled”. The opportunity here for token receivers is to have an app-layer interactivity on the speed/security tradeoff (99.9999% assurance within 10 seconds). We call this Z-DAG, and it achieves high-throughput across a mesh network topology presently composed of about 2,000 geographically dispersed full-nodes. Similar to Bitcoin, however, these nodes are incentivized to run full-nodes for the benefit of network security, through a bonded validator scheme. These nodes do not participate in the consensus of transactions or block validation any differently than other nodes and therefore do not degrade the security model of Bitcoin’s validate first then trust, across every node. Each token transfer settles on-chain. The protocol follows Bitcoin core policies so it has adequate code coverage and protocol hardening to be qualified as production quality software. It shares a significant portion of Bitcoin’s own hashpower through merged-mining.
This platform as a whole can serve token microtransactions, larger settlements, and store-of-value in an ideal fashion, providing probabilistic scalability whilst remaining decentralized according to Bitcoin design. It is accessible to ERC-20 via a permissionless and trust-minimized bridge that works in both directions. The bridge and token platform are currently available on the Syscoin mainnet. This has been gaining recent attention for use by loyalty point programs and stablecoins such as Binance USD.
SolutionsSyscoin Foundation identified a few paths for Reddit to leverage this infrastructure, each with trade-offs. The first provides the most cost-savings and scaling benefits at some sacrifice of token autonomy. The second offers more preservation of autonomy with a more narrow scope of cost savings than the first option, but savings even so. The third introduces more complexity than the previous two yet provides the most overall benefits. We consider the third as most viable as it enables Reddit to benefit even while retaining existing smart contract functionality. We will focus on the third option, and include the first two for good measure.
Syscoin + Matic IntegrationMatic and Blockchain Foundry Inc, the public company formed by the founders of Syscoin, recently entered a partnership for joint research and business development initiatives. This is ideal for all parties as Matic Network and Syscoin Platform provide complementary utility. Syscoin offers characteristics for sovereign ownership and security based on Bitcoin’s time-tested model, and shares a significant portion of Bitcoin’s own hashpower. Syscoin’s focus is on secure and scalable simple value transfers, trust-minimized interoperability, and opt-in regulatory compliance for tokenized assets rather than scalability for smart contract execution. On the other hand, Matic Network can provide scalable EVM for smart contract execution. Reddit Community Points can benefit from both.
Syscoin + Matic integration is actively being explored by both teams, as it is helpful to Reddit, Ethereum, and the industry as a whole.
Proving Performance & Cost SavingsOur POC focuses on 100,000 on-chain settlements of token transfers on the Syscoin Core blockchain. Transfers and burns perform equally with Syscoin. For POCs related to smart contracts (subscriptions, etc), refer to the Matic Network proposal.
On-chain settlement of 100k transactions was accomplished within roughly twelve minutes, well-exceeding Reddit’s expectation of five days. This was performed using six full-nodes operating on compute-optimized AWS c4.2xlarge instances which were geographically distributed (Virginia, London, Sao Paulo Brazil, Oregon, Singapore, Germany). A higher quantity of settlements could be reached within the same time-frame with more broadcasting nodes involved, or using hosts with more resources for faster execution of the process.
Addresses used: 100,014
The demonstration was executed using this tool. The results can be seen in the following blocks:
It is important to note that this POC is not focused on Z-DAG. The performance of Z-DAG has been benchmarked within realistic network conditions: Whiteblock’s audit is publicly available. Network latency tests showed an average TPS around 15k with burst capacity up to 61k. Zero-latency control group exhibited ~150k TPS. Mainnet testing of the Z-DAG network is achievable and will require further coordination and additional resources.
Even further optimizations are expected in the upcoming Syscoin Core release which will implement a UTXO model for our token layer bringing further efficiency as well as open the door to additional scaling technology currently under research by our team and academic partners. At present our token layer is account-based, similar to Ethereum. Opt-in compliance structures will also be introduced soon which will offer some positive performance characteristics as well. It makes the most sense to implement these optimizations before performing another benchmark for Z-DAG, especially on the mainnet considering the resources required to stress-test this network.
Cost SavingsTotal cost for these 100k transactions: $0.63 USD
See the live fee comparison for savings estimation between transactions on Ethereum and Syscoin. Below is a snapshot at time of writing:
ETH price: $318.55 ETH gas price: 55.00 Gwei ($0.37)
Syscoin price: $0.11
Snapshot of live fee comparison chart
Z-DAG provides a more efficient fee-market. A typical Z-DAG transaction costs 0.0000582 SYS. Tokens can be safely redeemed/re-spent within seconds or allowed to settle on-chain beforehand. The costs should remain about this low for microtransactions.
Syscoin will achieve further reduction of fees and even greater scalability with offchain payment channels for assets, with Z-DAG as a resilience fallback. New payment channel technology is one of the topics under research by the Syscoin development team with our academic partners at TU Delft. In line with the calculation in the Lightning Networks white paper, payment channels using assets with Syscoin Core will bring theoretical capacity for each person on Earth (7.8 billion) to have five on-chain transactions per year, per person, without requiring anyone to enter a fee market (aka “wait for a block”). This exceeds the minimum LN expectation of two transactions per person, per year; one to exist on-chain and one to settle aggregated value.
Tools, Infrastructure & Documentation
Syscoin BridgeMainnet Demonstration of Syscoin Bridge with the Basic Attention Token ERC-20
A two-way blockchain interoperability system that uses Simple Payment Verification to enable:
APITools to simplify using Syscoin Bridge as a service with dapps and wallets will be released some time after implementation of Syscoin Core 4.2. These will be based upon the same processes which are automated in the current live Sysethereum Dapp that is functioning with the Syscoin mainnet.
DocumentationSyscoin Bridge & How it Works (description and process flow)
Superblock Validation Battles
HOWTO: Provision the Bridge for your ERC-20
HOWTO: Setup an Agent
Developer & User Diligence
Trade-offThe Syscoin Ethereum Bridge is secured by Agent nodes participating in a decentralized and incentivized model that involves roles of Superblock challengers and submitters. This model is open to participation. The benefits here are trust-minimization, permissionless-ness, and potentially less legal/regulatory red-tape than interop mechanisms that involve liquidity providers and/or trading mechanisms.
The trade-off is that due to the decentralized nature there are cross-chain settlement times of one hour to cross from Ethereum to Syscoin, and three hours to cross from Syscoin to Ethereum. We are exploring ways to reduce this time while maintaining decentralization via zkp. Even so, an “instant bridge” experience could be provided by means of a third-party liquidity mechanism. That option exists but is not required for bridge functionality today. Typically bridges are used with batch value, not with high frequencies of smaller values, and generally it is advantageous to keep some value on both chains for maximum availability of utility. Even so, the cross-chain settlement time is good to mention here.
CostEthereum -> Syscoin: Matic or Ethereum transaction fee for bridge contract interaction, negligible Syscoin transaction fee for minting tokens
Syscoin -> Ethereum: Negligible Syscoin transaction fee for burning tokens, 0.01% transaction fee paid to Bridge Agent in the form of the ERC-20, Matic or Ethereum transaction fee for contract interaction.
Z-DAGZero-Confirmation Directed Acyclic Graph is an instant settlement protocol that is used as a complementary system to proof-of-work (PoW) in the confirmation of Syscoin service transactions. In essence, a Z-DAG is simply a directed acyclic graph (DAG) where validating nodes verify the sequential ordering of transactions that are received in their memory pools. Z-DAG is used by the validating nodes across the network to ensure that there is absolute consensus on the ordering of transactions and no balances are overflowed (no double-spends).
APISyscoin-js provides tooling for all Syscoin Core RPCs including interactivity with Z-DAG.
DocumentationZ-DAG White Paper
Useful read: An in-depth Z-DAG discussion between Syscoin Core developer Jag Sidhu and Brave Software Research Engineer Gonçalo Pestana
Trade-offZ-DAG enables the ideal speed/security tradeoff to be determined per use-case in the application layer. It minimizes the sacrifice required to accept and redeem fast transfers/payments while providing more-than-ample security for microtransactions. This is supported on the premise that a Reddit user receiving points does need security yet generally doesn’t want nor need to wait for the same level of security as a nation-state settling an international trade debt. In any case, each Z-DAG transaction settles onchain at a block target of 60 seconds.
Syscoin SpecsSyscoin 3.0 White Paper
(4.0 white paper is pending. For improved scalability and less blockchain bloat, some features of v3 no longer exist in current v4: Specifically Marketplace Offers, Aliases, Escrow, Certificates, Pruning, Encrypted Messaging)
WalletsWeb3 and mobile wallets are under active development by Blockchain Foundry Inc as WebAssembly applications and expected for release not long after mainnet deployment of Syscoin Core 4.2. Both of these will be multi-coin wallets that support Syscoin, SPTs, Ethereum, and ERC-20 tokens. The Web3 wallet will provide functionality similar to Metamask.
Syscoin Platform and tokens are already integrated with Blockbook. Custom hardware wallet support currently exists via ElectrumSys. First-class HW wallet integration through apps such as Ledger Live will exist after 4.2.
Current supported wallets
Syscoin Spark Desktop
ExplorersMainnet: https://sys1.bcfn.ca (Blockbook)
Thank you for close consideration of our proposal. We look forward to feedback, and to working with the Reddit community to implement an ideal solution using Syscoin Platform!
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Streamr Network: Performance and Scalability Whitepaper
The Corea milestone of the Streamr Network went live in late 2019. Since then a few people in the team have been working on an academic whitepaper to describe its design principles, position it with respect to prior art, and prove certain properties it has. The paper is now ready, and it has been submitted to the IEEE Access journal for peer review. It is also now published on the new Papers section on the project website. In this blog, I’ll introduce the paper and explain its key results. All the figures presented in this post are from the paper.
The reasons for doing this research and writing this paper were simple: many prospective users of the Network, especially more serious ones such as enterprises, ask questions like ‘how does it scale?’, ‘why does it scale?’, ‘what is the latency in the network?’, and ‘how much bandwidth is consumed?’. While some answers could be provided before, the Network in its currently deployed form is still small-scale and can’t really show a track record of scalability for example, so there was clearly a need to produce some in-depth material about the structure of the Network and its performance at large, global scale. The paper answers these questions.
Another reason is that decentralized peer-to-peer networks have experienced a new renaissance due to the rise in blockchain networks. Peer-to-peer pub/sub networks were a hot research topic in the early 2000s, but not many real-world implementations were ever created. Today, most blockchain networks use methods from that era under the hood to disseminate block headers, transactions, and other events important for them to function. Other megatrends like IoT and social media are also creating demand for new kinds of scalable message transport layers.
The latency vs. bandwidth tradeoffThe current Streamr Network uses regular random graphs as stream topologies. ‘Regular’ here means that nodes connect to a fixed number of other nodes that publish or subscribe to the same stream, and ‘random’ means that those nodes are selected randomly.
Random connections can of course mean that absurd routes get formed occasionally, for example a data point might travel from Germany to France via the US. But random graphs have been studied extensively in the academic literature, and their properties are not nearly as bad as the above example sounds — such graphs are actually quite good! Data always takes multiple routes in the network, and only the fastest route counts. The less-than-optimal routes are there for redundancy, and redundancy is good, because it improves security and churn tolerance.
There is an important parameter called node degree, which is the fixed number of nodes to which each node in a topology connects. A higher node degree means more duplication and thus more bandwidth consumption for each node, but it also means that fast routes are more likely to form. It’s a tradeoff; better latency can be traded for worse bandwidth consumption. In the following section, we’ll go deeper into analyzing this relationship.
Network diameter scales logarithmicallyOne useful metric to estimate the behavior of latency is the network diameter, which is the number of hops on the shortest path between the most distant pair of nodes in the network (i.e. the “longest shortest path”. The below plot shows how the network diameter behaves depending on node degree and number of nodes.
We can see that the network diameter increases logarithmically (very slowly), and a higher node degree ‘flattens the curve’. This is a property of random regular graphs, and this is very good — growing from 10,000 nodes to 100,000 nodes only increases the diameter by a few hops! To analyse the effect of the node degree further, we can plot the maximum network diameter using various node degrees:
Network diameter in network of 100 000 nodes
We can see that there are diminishing returns for increasing the node degree. On the other hand, the penalty (number of duplicates, i.e. bandwidth consumption), increases linearly with node degree:
Number of duplicates received by the non-publisher nodes
In the Streamr Network, each stream forms its own separate overlay network and can even have a custom node degree. This allows the owner of the stream to configure their preferred latency/bandwidth balance (imagine such a slider control in the Streamr Core UI). However, finding a good default value is important. From this analysis, we can conclude that:
Latency scales logarithmicallyTo see if actual latency scales logarithmically in real-world conditions, we ran large numbers of nodes in 16 different Amazon AWS data centers around the world. We ran experiments with network sizes between 32 to 2048 nodes. Each node published messages to the network, and we measured how long it took for the other nodes to get the message. The experiment was repeated 10 times for each network size.
The below image displays one of the key results of the paper. It shows a CDF (cumulative distribution function) of the measured latencies across all experiments. The y-axis runs from 0 to 1, i.e. 0% to 100%.
CDF of message propagation delay
From this graph we can easily read things like: in a 32 nodes network (blue line), 50% of message deliveries happened within 150 ms globally, and all messages were delivered in around 250 ms. In the largest network of 2048 nodes (pink line), 99% of deliveries happened within 362 ms globally.
To put these results in context, PubNub, a centralized message brokering service, promises to deliver messages within 250 ms — and that’s a centralized service! Decentralization comes with unquestionable benefits (no vendor lock-in, no trust required, network effects, etc.), but if such protocols are inferior in terms of performance or cost, they won’t get adopted. It’s pretty safe to say that the Streamr Network is on par with centralized services even when it comes to latency, which is usually the Achilles’ heel of P2P networks (think of how slow blockchains are!). And the Network will only get better with time.
Then we tackled the big question: does the latency behave logarithmically?
Mean message propagation delay in Amazon experiments
Above, the thick line is the average latency for each network size. From the graph, we can see that the latency grows logarithmically as the network size increases, which means excellent scalability.
The shaded area shows the difference between the best and worst average latencies in each repeat. Here we can see the element of chance at play; due to the randomness in which nodes become neighbours, some topologies are faster than others. Given enough repeats, some near-optimal topologies can be found. The difference between average topologies and the best topologies gives us a glimpse of how much room for optimisation there is, i.e. with a smarter-than-random topology construction, how much improvement is possible (while still staying in the realm of regular graphs)? Out of the observed topologies, the difference between the average and the best observed topology is between 5–13%, so not that much. Other subclasses of graphs, such as irregular graphs, trees, and so on, can of course unlock more room for improvement, but they are different beasts and come with their own disadvantages too.
It’s also worth asking: how much worse is the measured latency compared to the fastest possible latency, i.e. that of a direct connection? While having direct connections between a publisher and subscribers is definitely not scalable, secure, or often even feasible due to firewalls, NATs and such, it’s still worth asking what the latency penalty of peer-to-peer is.
Relative delay penalty in Amazon experiments
As you can see, this plot has the same shape as the previous one, but the y-axis is different. Here, we are showing the relative delay penalty (RDP). It’s the latency in the peer-to-peer network (shown in the previous plot), divided by the latency of a direct connection measured with the ping tool. So a direct connection equals an RDP value of 1, and the measured RDP in the peer-to-peer network is roughly between 2 and 3 in the observed topologies. It increases logarithmically with network size, just like absolute latency.
Again, given that latency is the Achilles’ heel of decentralized systems, that’s not bad at all. It shows that such a network delivers acceptable performance for the vast majority of use cases, only excluding the most latency-sensitive ones, such as online gaming or arbitrage trading. For most other use cases, it doesn’t matter whether it takes 25 or 75 milliseconds to deliver a data point.
Latency is predictableIt’s useful for a messaging system to have consistent and predictable latency. Imagine for example a smart traffic system, where cars can alert each other about dangers on the road. It would be pretty bad if, even minutes after publishing it, some cars still haven’t received the warning. However, such delays easily occur in peer-to-peer networks. Everyone in the crypto space has seen first-hand how plenty of Bitcoin or Ethereum nodes lag even minutes behind the latest chain state.
So we wanted to see whether it would be possible to estimate the latencies in the peer-to-peer network if the topology and the latencies between connected pairs of nodes are known. We applied Dijkstra’s algorithm to compute estimates for average latencies from the input topology data, and compared the estimates to the actual measured average latencies:
Mean message propagation delay in Amazon experiments
We can see that, at least in these experiments, the estimates seemed to provide a lower bound for the actual values, and the average estimation error was 3.5%. The measured value is higher than the estimated one because the estimation only considers network delays, while in reality there is also a little bit of a processing delay at each node.
ConclusionThe research has shown that the Streamr Network can be expected to deliver messages in roughly 150–350 milliseconds worldwide, even at a large scale with thousands of nodes subscribing to a stream. This is on par with centralized message brokers today, showing that the decentralized and peer-to-peer approach is a viable alternative for all but the most latency-sensitive applications.
It’s thrilling to think that by accepting a latency only 2–3 times longer than the latency of an unscalable and insecure direct connecion, applications can interconnect over an open fabric with global scalability, no single point of failure, no vendor lock-in, and no need to trust anyone — all that becomes available out of the box.
In the real-time data space, there are plenty of other aspects to explore, which we didn’t cover in this paper. For example, we did not measure throughput characteristics of network topologies. Different streams are independent, so clearly there’s scalability in the number of streams, and heavy streams can be partitioned, allowing each stream to scale too. Throughput is mainly limited, therefore, by the hardware and network connection used by the network nodes involved in a topology. Measuring the maximum throughput would basically be measuring the hardware as well as the performance of our implemented code. While interesting, this is not a high priority research target at this point in time. And thanks to the redundancy in the network, individual slow nodes do not slow down the whole topology; the data will arrive via faster nodes instead.
Also out of scope for this paper is analysing the costs of running such a network, including the OPEX for publishers and node operators. This is a topic of ongoing research, which we’re currently doing as part of designing the token incentive mechanisms of the Streamr Network, due to be implemented in a later milestone.
I hope that this blog has provided some insight into the fascinating results the team uncovered during this research. For a more in-depth look at the context of this work, and more detail about the research, we invite you to read the full paper.
If you have an interest in network performance and scalability from a developer or enterprise perspective, we will be hosting a talk about this research in the coming weeks, so keep an eye out for more details on the Streamr social media channels. In the meantime, feedback and comments are welcome. Please add a comment to this Reddit thread or email [[email protected]](mailto:[email protected]).
Originally published by. Henri at blog.streamr.network on August 24, 2020.
While I don't think that everybody needs to run a node, a full node does publish blocks it considers valid to other nodes. This does not amount to much if you only consider a single node in the network, but many "honest" full nodes in the network will reduce the probability of a valid block being withheld from the network by a collusion of "hostile" node operators.But surely this will not get attention here, and will be downvoted by those people that promote the narrative that there is no trade off in increasing the blocksize and the people that don't see it are retarded or are btc maxis.
When there was only 2 nodes in the network, adding a third node increased redundancy and resiliency of the network as a whole in a significant way. When there is thousands of nodes in the network, adding yet another node only marginally increase the redundancy and resiliency of the network. So the question then becomes a matter of personal judgement of how much that added redundancy and resiliency is worth. For the absolutist, it is absolutely worth it and everyone on this planet should do their part.What is the magical number of nodes that makes it counterproductive to add new nodes? Did he do any math? Does BCH achieve this holy grail safe number of nodes? Guess what, nobody knows at what number of nodes is starts to be marginally irrelevant to add new nodes. Even BTC today could still not have enough nodes to be safe. If you can't know for sure that you are safe, it is better to try to be safer than sorry. Thousands of nodes is still not enough, as I said, it is much cheaper to run a full node as it is to mine. If it costs millions in hash power to do a 51% attack on the block generation it means nothing if it costs less than $10k to run more nodes than there are in total in the network and cause havoc and slowing people from using the network. Or using bot farms to DDoS the 1000s of nodes in the network. Not all attacks are monetarily motivated. When you have governments with billions of dollars at their disposal and something that could threat their power they could do anything they could to stop people from using it, and the cheapest it is to do so the better
You should run a full node if you're a big business with e.g. >$100k/month in volume, or if you run a service that requires high fraud resistance and validation certainty for payments sent your way (e.g. an exchange). For most other users of Bitcoin, there's no good reason to run a full node unless you reel like it.Shouldn't individuals benefit from fraud resistance too? Why just businesses?
Personally, I think it's a good idea to make sure that people can easily run a full node because they feel like it, and that it's desirable to keep full node resource requirements reasonable for an enthusiast/hobbyist whenever possible. This might seem to be at odds with the concept of making a worldwide digital cash system in which all transactions are validated by everybody, but after having done the math and some of the code myself, I believe that we should be able to have our cake and eat it too.This is recurrent argument, but also no math provided, "just trust me I did the math"
The biggest reason individuals may want to run their own node is to increase their privacy. SPV wallets rely on others (nodes or ElectronX servers) who may learn their addresses.It is a reason and valid one but not the biggest reason
If you do it for fun and experimental it good. If you do it for extra privacy it's ok. If you do it to help the network don't. You are just slowing down miners and exchanges.Yes it will slow down the network, but that shows how people just don't get the the trade off they are doing
I will just copy/paste what Satoshi Nakamoto said in his own words. "The current system where every user is a network node is not the intended configuration for large scale. That would be like every Usenet user runs their own NNTP server."Another "it is all or nothing argument" and quoting satoshi to try and prove their point. Just because every user doesn't need to be also a full node doesn't mean that there aren't serious risks for having few nodes
For this to have any importance in practice, all of the miners, all of the exchanges, all of the explorers and all of the economic nodes should go rogue all at once. Collude to change consensus. If you have a node you can detect this. It doesn't do much, because such a scenario is impossible in practice.Not true because as I said, you can DDoS the current nodes or run more malicious nodes than that there currently are, because is cheap to do so
Non-mining nodes don't contribute to adding data to the blockchain ledger, but they do play a part in propagating transactions that aren't yet in blocks (the mempool). Bitcoin client implementations can have different validations for transactions they see outside of blocks and transactions they see inside of blocks; this allows for "soft forks" to add new types of transactions without completely breaking older clients (while a transaction is in the mempool, a node receiving a transaction that's a new/unknown type could drop it as not a valid transaction (not propagate it to its peers), but if that same transaction ends up in a block and that node receives the block, they accept the block (and the transaction in it) as valid (and therefore don't get left behind on the blockchain and become a fork). The participation in the mempool is a sort of "herd immunity" protection for the network, and it was a key talking point for the "User Activated Soft Fork" (UASF) around the time the Segregated Witness feature was trying to be added in. If a certain percentage of nodes updated their software to not propagate certain types of transactions (or not communicate with certain types of nodes), then they can control what gets into a block (someone wanting to get that sort of transaction into a block would need to communicate directly to a mining node, or communicate only through nodes that weren't blocking that sort of transaction) if a certain threshold of nodes adheres to those same validation rules. It's less specific than the influence on the blockchain data that mining nodes have, but it's definitely not nothing.The first reasonable comment in that thread but is deep down there with only 1 upvote
The addition of non-mining nodes does not add to the efficiency of the network, but actually takes away from it because of the latency issue.That is true and is actually a trade off you are making, sacrificing security to have scalability
The addition of non-mining nodes has little to no effect on security, since you only need to destroy mining ones to take down the networkIt is true that if you destroy mining nodes you take down the network from producing new blocks (temporarily), even if you have a lot of non mining nodes. But, it still better than if you take down the mining nodes who are also the only full nodes. If the miners are not the only full nodes, at least you still have full nodes with the blockchain data so new miners can download it and join. If all the miners are also the full nodes and you take them down, where will you get all the past blockchain data to start mining again? Just pray that the miners that were taken down come back online at some point in the future?
The real limiting factor is ISP's: Imagine a situation where one service provider defrauds 4000 different nodes. Did the excessive amount of nodes help at all, when they have all been defrauded by the same service provider? If there are only 30 ISP's in the world, how many nodes do we REALLY need?You cant defraud if the connection is encrypted. Use TOR for example, it is hard for ISP's to know what you are doing.
Satoshi specifically said in the white paper that after a certain point, number of nodes needed plateaus, meaning after a certain point, adding more nodes is actually counterintuitive, which we also demonstrated. (the latency issue). So, we have adequately demonstrated why running non-mining nodes does not add additional value or security to the network.Again, what is the number of nodes that makes it counterproductive? Did he do any math?
There's also the matter of economically significant nodes and the role they play in consensus. Sure, nobody cares about your average joe's "full node" where he is "keeping his own ledger to keep the miners honest", as it has no significance to the economy and the miners couldn't give a damn about it. However, if say some major exchanges got together to protest a miner activated fork, they would have some protest power against that fork because many people use their service. Of course, there still needs to be miners running on said "protest fork" to keep the chain running, but miners do follow the money and if they got caught mining a fork that none of the major exchanges were trading, they could be coaxed over to said "protest fork".In consensus, what matters about nodes is only the number, economical power of the node doesn't mean nothing, the protocol doesn't see the net worth of the individual or organization running that node.
Running a full node that is not mining and not involved is spending or receiving payments is of very little use. It helps to make sure network traffic is broadcast, and is another copy of the blockchain, but that is all (and is probably not needed in a healthy coin with many other nodes)He gets it right (broadcasting transaction and keeping a copy of the blockchain) but he dismisses the importance of it
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Introducing the #SendNodes Contest with Kusama and Avado
Introduction to Kusama, AVADO and Nodes
What is Kusama?
Many of you may be aware of Kusama, but for those of you who are new, welcome! Kusama a scalable, multichain network for radical innovation. The network is a development environment for teams who want to move fast and innovate, or prepare for deployment on Polkadot. Some of these teams building on Kusama include Acala, building a custom blockchain for DeFi; and Chainlink, building a blockchain dedicated to its Oracle network. Kusama was founded in 2019 by Gavin Wood, co-founder and original CTO of Ethereum, and is maintained by the same teams that are behind Polkadot. Kusama is a project of Web3 Foundation, a Swiss foundation that funds research and development teams building the technology stack of the decentralized web. Web3 Foundation works with best-in-class entities such as Parity Technologies to build Kusama and foster development of the services and applications that will run on it.
What is AVADO?
AVADO is a pre-configured blockchain computer. Our focus is to make it as easy as possible to run your plug and play blockchain node. AVADO is hardware equipped with an operating system allowing you to deploy a Kusama node, Sentry node, or a node on the Westend testnet with a click of a button. You can even run them all at the same time if you’d like. In addition, we created the Run Your Own (RYO) Cloud, allowing every AVADO user to participate in and give others access to the packages running on your AVADO. You can see on status.cloud.ava.do which packages are available. In other words, a decentralized AWS.With many different hardware alternatives and prices, AVADO makes sure everyone can find what best suits their needs. See below for the #SendNodes prizes from AVADO!
What are nodes used for on Kusama?
Kusama is constructed and operated by a large network of nodes. These nodes, similar to nodes on the bitcoin network, help to provide decentralization and stability to the network. Nodes can be “full nodes”, which host a full record of the Kusama blockchain but do not participate in validating the transactions of the network. On the other hand, nodes can also be run as “validators”, which help contribute to running the network and verifying the accuracy of transactions. Validator nodes require much more technical knowledge to operate, so we highly encourage you to run a full node unless you’re an advanced software developer. This contest is meant to help you learn how to participate in Kusama as a full node or validator node, and thus, begin owning and operating a true piece of the network!
Introducing #SendNodes, Kusama’s and AVADO’s social media competition for spinning up nodes, tweeting screenshots of your nodes and asking friends to “#SendNodes” back. The competition runs from April 9th to May 6th. Winners will be announced from Kusama's Twitter on May 7th. Don't know how to spin up a node? Below are links to guides and tutorials you can use. For this contest there is also a #SendNodes Telegram channel where you can ask questions or you can ask questions on Kusama’s subreddit. For #SendNodes, you can spin up a full, validator or sentry node. See options and tutorials below.
Option 1 - Spin up a full node (Technical Level: Low-Medium)
Follow these directions carefully:
Option 2 - Spin up a validator node (Technical Level: Very Advanced). In addition to your validator node, you can spin up a sentry node and connect it to your validator node.
Follow this guide: https://wiki.polkadot.network/docs/en/maintain-guides-how-to-validate-kusama
Watch this tutorial: https://www.youtube.com/watch?v=ejgPSwdLj5o&feature=youtu.be
Follow this workshop: https://github.com/wpank/KusamaValidatorWorkshop
For questions, please go to our #SendNodes Telegram: https://t.me/joinchat/FdnVPhrxoshwV7an5fohLA
Prize: i5 Avado computer
Prize: 50% off coupon for an Avado box of your choice
Prize: 25% off coupon for an Avado box of your choice
Prize: 25% off coupon for an Avado box of your choice
5TH to 30TH PLACE
Prize: 50 $KSM
How Will Prizes be Awarded?
You will accumulate points for completing tasks in Vyper. At the end of the competition, Viper’s random winner selector will select a first place, second place, third place, forth place, and 25 additional winners. Although the winners will be randomly selected, the API is set up to award those who have completed the most tasks and accumulated the most points.
Start: Today (April 9th, 2020)
End: All submissions are due at 00:00 UTC on May 6th, 2020.
Winners will be announced from Kusama's Twitter on May 7th.
DO NOT CHEAT! If you are caught cheating you will be disqualified.
Make sure to tweet your node(s) before the end of May 6th.
Twitter Submission Guidelines
Every eligible entry is required to submit their node on Twitter.
Please tag both #SendNodes, u/Kusamanetwork and u/avadocloud in your submission tweet.
If you have any questions, please ask them in the #SendNodes Telegram channel.
Compete for Points and Prizes on Vyper
During this competition all points will be accumulated on Vyper. Besides deploying nodes you can receive points for completing other tasks like attending a crowdcast, liking someone elses node, asking someone to send you a node, etc. At the end, 29 winners will receive $KSM and swag. Check out the tasks on Vyper: https://vy.lc/124563jvqwg
See our terms and conditions
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The DFINITY blockchain computer provides a secure, performant and flexible consensus mechanism. At its core, DFINITY contains a decentralized randomness beacon, which acts as a verifiable random function (VRF) that produces a stream of outputs over time. The novel technique behind the beacon relies on the existence of a unique-deterministic, non-interactive, DKG-friendly threshold signatures scheme. The only known examples of such a scheme are pairing-based and derived from BLS.
The DFINITY blockchain is layered on top of the DFINITY beacon and uses the beacon as its source of randomness for leader selection and leader ranking. A “weight” is attributed to a chain based on the ranks of the leaders who propose the blocks in the chain, and that weight is used to select between competing chains. The DFINITY blockchain is layered on top of the DFINITY beacon and uses the beacon as its source of randomness for leader selection and leader ranking blockchain is further hardened by a notarization process which dramatically improves the time to finality and eliminates the nothing-at-stake and selfish mining attacks.
DFINITY consensus algorithm is made to scale through continuous quorum selections driven by the random beacon. In practice, DFINITY achieves block times of a few seconds and transaction finality after only two confirmations. The system gracefully handles temporary losses of network synchrony including network splits, while it is provably secure under synchrony.
1.INTRODUCTIONDFINITY is building a new kind of public decentralized cloud computing resource. The company’s platform uses blockchain technology which is aimed at building a new kind of public decentralized cloud computing resource with unlimited capacity, performance and algorithmic governance shared by the world, with the capability to power autonomous self-updating software systems, enabling organizations to design and deploy custom-tailored cloud computing projects, thereby reducing enterprise IT system costs by 90%.
DFINITY aims to explore new territory and prove that the blockchain opportunity is far broader and deeper than anyone has hitherto realized, unlocking the opportunity with powerful new crypto.
Although a standalone project, DFINITY is not maximalist minded and is a great supporter of Ethereum.
The DFINITY blockchain computer provides a secure, performant and flexible consensus mechanism. At its core, DFINITY contains a decentralized randomness beacon, which acts as a verifiable random function (VRF) that produces a stream of outputs over time. The novel technique behind the beacon relies on the existence of a unique-deterministic, non-interactive, DKG-friendly threshold signatures scheme. The only known examples of such a scheme are pairing-based and derived from BLS.
DFINITY’s consensus mechanism has four layers: notary (provides fast finality guarantees to clients and external observers), blockchain (builds a blockchain from validated transactions via the Probabilistic Slot Protocol driven by the random beacon), random beacon (provides the source of randomness for all higher layers like smart contract applications), and identity (provides a registry of all clients).
DFINITY’s consensus mechanism has four layers
Figure1: DFINITY’s consensus mechanism layers
1. Identity layer:
Active participants in the DFINITY Network are called clients. Where clients are registered with permanent identities under a pseudonym. Moreover, DFINITY supports open membership by providing a protocol for registering new clients by depositing a stake with an insurance period. This is the responsibility of the first layer.
2. Random Beacon layer:
Provides the source of randomness (VRF) for all higher layers including ap- plications (smart contracts). The random beacon in the second layer is an unbiasable, verifiable random function (VRF) that is produced jointly by registered clients. Each random output of the VRF is unpredictable by anyone until just before it becomes avail- able to everyone. This is a key technology of the DFINITY system, which relies on a threshold signature scheme with the properties of uniqueness and non-interactivity.
3. Blockchain layer:
The third layer deploys the “probabilistic slot protocol” (PSP). This protocol ranks the clients for each height of the chain, in an order that is derived determin- istically from the unbiased output of the random beacon for that height. A weight is then assigned to block proposals based on the proposer’s rank such that blocks from clients at the top of the list receive a higher weight. Forks are resolved by giving favor to the “heaviest” chain in terms of accumulated block weight — quite sim- ilar to how traditional proof-of-work consensus is based on the highest accumulated amount of work.
The first advantage of the PSP protocol is that the ranking is available instantaneously, which allows for a predictable, constant block time. The second advantage is that there is always a single highest-ranked client, which allows for a homogenous network bandwidth utilization. Instead, a race between clients would favor a usage in bursts.
4. Notarization layer:
Provides fast finality guarantees to clients and external observers. DFINITY deploys the novel technique of block notarization in its fourth layer to speed up finality. A notarization is a threshold signature under a block created jointly by registered clients. Only notarized blocks can be included in a chain. Of all RSA-based alternatives exist but suffer from an impracticality of setting up the thresh- old keys without a trusted dealer.
DFINITY achieves its high speed and short block times exactly because notarization is not full consensus.
DFINITY does not suffer from selfish mining attack or a problem nothing at stake because the authentication step is impossible for the opponent to build and maintain a series of linked and trusted blocks in secret.
DFINITY’s consensus is designed to operate on a network of millions of clients. To en- able scalability to this extent, the random beacon and notarization protocols are designed such as that they can be safely and efficiently delegated to a committee
1.1 OVERVIEW ABOUT DFINITYDFINITY is a blockchain-based cloud-computing project that aims to develop an open, public network, referred to as the “internet computer,” to host the next generation of software and data. and it is a decentralized and non-proprietary network to run the next generation of mega-applications. It dubbed this public network “Cloud 3.0”.
DFINITY is a third generation virtual blockchain network that sets out to function as an “intelligent decentralised cloud,”¹ strongly focused on delivering a viable corporate cloud solution. The DFINITY project is overseen, supported and promoted by DFINITY Stiftung a not-for-profit foundation based in Zug, Switzerland.
DFINITY is a decentralized network design whose protocols generate a reliable “virtual blockchain computer” running on top of a peer-to-peer network upon which software can be installed and can operate in the tamperproof mode of smart contracts.
DFINITY introduces algorithmic governance in the form of a “Blockchain Nervous System” that can protect users from attacks and help restart broken systems, dynamically optimize network security and efficiency, upgrade the protocol and mitigate misuse of the platform, for example by those wishing to run illegal or immoral systems.
DFINITY is an Ethereum-compatible smart contract platform that is implementing some revolutionary ideas to address blockchain performance, scaling, and governance. Whereas
DFINITY could pose a credible threat to Ethereum’s extinction, the project is pursuing a coevolutionary strategy by contributing funding and effort to Ethereum projects and freely offering their technology to Ethereum for adoption. DFINITY has labeled itself Ethereum’s “crazy sister” to express it’s close genetic resemblance to Ethereum, differentiated by its obsession with performance and neuron-inspired governance model.
Dfinity raised $61 million from Andreesen Horowitz and Polychain Capital in a February 2018 funding round. At the time, Dfinity said it wanted to create an “internet computer” to cut the costs of running cloud-based business applications. A further $102 million funding round in August 2018 brought the project’s total funding to $195 million.
In May 2018, Dfinity announced plans to distribute around $35 million worth of Dfinity tokens in an airdrop. It was part of the company’s plan to create a “Cloud 3.0.” Because of regulatory concerns, none of the tokens went to US residents.
DFINITY be broadening and strengthening the EVM ecosystem by giving applications a choice of platforms with different characteristics. However, if DFINITY succeeds in delivering a fully EVM-compatible smart contract platform with higher transaction throughput, faster confirmation times, and governance mechanisms that can resolve public disputes without causing community splits, then it will represent a clearly superior choice for deploying new applications and, as its network effects grow, an attractive place to bring existing ones. Of course the challenge for DFINITY will be to deliver on these promises while meeting the security demands of a public chain with significant value at risk.
1.1.1 DFINITY FUTURE
1.1.2 DFINITY’S VISIONDFINITY’s vision is its new internet infrastructure can support a wide variety of end-user and enterprise applications. Social media, messaging, search, storage, and peer-to-peer Internet interactions are all examples of functionalities that DFINITY plans to host atop its public Web 3.0 cloud-like computing resource. In order to provide the transaction and data capacity necessary to support this ambitious vision, DFINITY features a unique consensus model (dubbed Threshold Relay) and algorithmic governance via its Blockchain Nervous System (BNS) — sometimes also referred to as the Network Nervous System or NNS.
1.2 DFINITY COMMUNITYThe DFINITY community brings people and organizations together to learn and collaborate on products that help steward the next-generation of internet software and services. The Internet Computer allows developers to take on the monopolization of the internet, and return the internet back to its free and open roots. We’re committed to connecting those who believe the same through our events, content, and discussions.
1.3 DFINITY ROADMAP (TIMELINE) February 15, 2017February 15, 2017
Ethereum based community seed round raises 4M Swiss francs (CHF)
The DFINITY Stiftung, a not-for-profit foundation entity based in Zug, Switzerland, raised the round. The foundation held $10M of assets as of April 2017.
February 8, 2018
Dfinity announces a $61M fundraising round led by Polychain Capital and Andreessen Horowitz
The round $61M round led by Polychain Capital and Andreessen Horowitz, along with an DFINITY Ecosystem Venture Fund which will be used to support projects developing on the DFINITY platform, and an Ethereum based raise in 2017 brings the total funding for the project over $100 million. This is the first cryptocurrency token that Andressen Horowitz has invested in, led by Chris Dixon.
Dfinity raises a $102,000,000 venture round from Multicoin Capital, Village Global, Aspect Ventures, Andreessen Horowitz, Polychain Capital, Scalar Capital, Amino Capital and SV Angel.
January 23, 2020
Dfinity launches an open source platform aimed at the social networking giants
2.DFINITY TECHNOLOGYDfinity is building what it calls the internet computer, a decentralized technology spread across a network of independent data centers that allows software to run anywhere on the internet rather than in server farms that are increasingly controlled by large firms, such as Amazon Web Services or Google Cloud. This week Dfinity is releasing its software to third-party developers, who it hopes will start making the internet computer’s killer apps. It is planning a public release later this year.
At its core, the DFINITY consensus mechanism is a variation of the Proof of Stake (PoS) model, but offers an alternative to traditional Proof of Work (PoW) and delegated PoS (dPoS) networks. Threshold Relay intends to strike a balance between inefficiencies of decentralized PoW blockchains (generally characterized by slow block times) and the less robust game theory involved in vote delegation (as seen in dPoS blockchains). In DFINITY, a committee of “miners” is randomly selected to add a new block to the chain. An individual miner’s probability of being elected to the committee proposing and computing the next block (or blocks) is proportional to the number of dfinities the miner has staked on the network. Further, a “weight” is attributed to a DFINITY chain based on the ranks of the miners who propose blocks in the chain, and that weight is used to choose between competing chains (i.e. resolve chain forks).
A decentralized random beacon manages the random selection process of temporary block producers. This beacon is a Variable Random Function (VRF), which is a pseudo-random function that provides publicly verifiable proofs of its outputs’ correctness. A core component of the random beacon is the use of Boneh-Lynn-Shacham (BLS) signatures. By leveraging the BLS signature scheme, the DFINITY protocol ensures no actor in the network can determine the outcome of the next random assignment.
Dfinity is introducing a new standard, which it calls the internet computer protocol (ICP). These new rules let developers move software around the internet as well as data. All software needs computers to run on, but with ICP the computers could be anywhere. Instead of running on a dedicated server in Google Cloud, for example, the software would have no fixed physical address, moving between servers owned by independent data centers around the world. “Conceptually, it’s kind of running everywhere,” says Dfinity engineering manager Stanley Jones.
DFINITY also features a native programming language, called ActorScript (name may be subject to change), and a virtual machine for smart contract creation and execution. The new smart contract language is intended to simplify the management of application state for programmers via an orthogonal persistence environment (which means active programs are
not required to retrieve or save their state). All ActorScript contracts are eventually compiled down to WebAssembly instructions so the DFINITY virtual machine layer can execute the logic of applications running on the network. The advantage of using the WebAssembly standard is that all major browsers support it and a variety of programming languages can compile down to Wasm (not just ActorScript).
Dfinity is moving fast. Recently, Dfinity showed off a TikTok clone called CanCan. In January it demoed a LinkedIn-alike called LinkedUp. Neither app is being made public, but they make a convincing case that apps made for the internet computer can rival the real things.
2.1 DFINITY CORE APPLICATIONSThe DFINITY cloud has two core applications:
Whilst conceptually similar to Ethereum, DFINITY employs original and new cryptography methods and protocols (crypto:3) at the network level, in concert with AI and network-fuelled systemic governance (Blockchain Nervous System — BNS) to facilitate Corporate adoption.
DFINITY recognises that different users value different properties and sees itself as more of a fully compatible extension of the Ethereum ecosystem rather than a competitor of the Ethereum network.
In the future, DFINITY hopes that much of their “new crypto might be used within the Ethereum network and are also working hard on shared technology components.”
As the DFINITY project develops over time, the DFINITY Stiftung foundation intends to steadily increase the BNS’ decision-making responsibilities over time, eventually resulting in the dissolution of its own involvement entirely, once the BNS is sufficiently sophisticated.
DFINITY consensus mechanism is a heavily optimized proof of stake (PoS) model. It places a strong emphasis on transaction finality through implementing a Threshold Relay technique in conjunction with the BLS signature scheme and a notarization method to address many of the problems associated with PoS consensus.
2.2 THRESHOLD RELAYAs a public cloud computing resource, DFINITY targets business applications by substantially reducing cloud computing costs for IT systems. They aim to achieve this with a highly scalable and powerful network with potentially unlimited capacity. The DFINITY platform is chalk full of innovative designs and features like their Blockchain Nervous System (BNS) for algorithmic governance.
One of the primary components of the platform is its novel Threshold Relay Consensus model from which randomness is produced, driving the other systems that the network depends on to operate effectively. The consensus system was first designed for a permissioned participation model but can be paired with any method of Sybil resistance for an open participation model.
“The Threshold Relay is the mechanism by which Dfinity randomly samples replicas into groups, sets the groups (committees) up for threshold operation, chooses the current committee, and relays from one committee to the next is called the threshold relay.”
Threshold Relay consists of four layers (As mentioned previously):
2.2.1 HOW DOES THRESHOLD RELAY WORK?Threshold Relay produces an endogenous random beacon, and each new value defines random group(s) of clients that may independently try and form into a “threshold group”. The composition of each group is entirely random such that they can intersect and clients can be presented in multiple groups. In DFINITY, each group is comprised of 400 members. When a group is defined, the members attempt to set up a BLS threshold signature system using a distributed key generation protocol. If they are successful within some fixed number of blocks, they then register the public key (“identity”) created for their group on the global blockchain using a special transaction, such that it will become part of the set of active groups in a following “epoch”. The network begins at “genesis” with some number of predefined groups, one of which is nominated to create a signature on some default value. Such signatures are random values — if they were not then the group’s signatures on messages would be predictable and the threshold signature system insecure — and each random value produced thus is used to select a random successor group. This next group then signs the previous random value to produce a new random value and select another group, relaying between groups ad infinitum and producing a sequence of random values.
In a cryptographic threshold signature system a group can produce a signature on a message upon the cooperation of some minimum threshold of its members, which is set to 51% in the DFINITY network. To produce the threshold signature, group members sign the message
individually (here the preceding group’s threshold signature) creating individual “signature shares” that are then broadcast to other group members. The group threshold signature can be constructed upon combination of a sufficient threshold of signature shares. So for example, if the group size is 400, if the threshold is set at 201 any client that collects that many shares will be able to construct the group’s signature on the message. Other group members can validate each signature share, and any client using the group’s public key can validate the single group threshold signature produced by combining them. The magic of the BLS scheme is that it is “unique and deterministic” meaning that from whatever subset of group members the required number of signature shares are collected, the single threshold signature created is always the same and only a single correct value is possible.
Consequently, the sequence of random values produced is entirely deterministic and unmanipulable, and signatures generated by relaying between groups produces a Verifiable Random Function, or VRF. Although the sequence of random values is pre-determined given some set of participating groups, each new random value can only be produced upon the minimal agreement of a threshold of the current group. Conversely, in order for relaying to stall because a random number was not produced, the number of correct processes must be below the threshold. Thresholds are configured so that this is extremely unlikely. For example, if the group size is set to 400, and the threshold is 201, 200 or more of the processes must become faulty to prevent production. If there are 10,000 processes in the network, of which 3,000 are faulty, the probability this will occur is less than 10e-17.
2.3 DFINITY TOKENThe DFINITY blockchain also supports a native token, called dfinities (DFN), which perform multiple roles within the network, including:
Neuron operators can earn Dfinities by participating in network-wide votes, which could be concerning protocol upgrades, a new economic policy, etc. DFN rewards for participating in the governance system are proportional to the number of tokens staked inside a neuron.
2.4 SCALABILITYDFINITY is constantly developing with a structure that separates consensus, validation, and storage into separate layers. The storage layer is divided into multiple strings, each of which is responsible for processing transactions that occur in the fragment state. The verification layer is responsible for combining hashes of all fragments in a Merkle-like structure that results in a global state fractionation that is stored in blocks in the top-level chain.
2.5 DFINITY CONSENSUS ALGORITHMThe single most important aspect of the user experience is certainly the time required before a transaction becomes final. This is not solved by a short block time alone — Dfinity’s team also had to reduce the number of confirmations required to a small constant. DFINITY moreover had to provide a provably secure proof-of-stake algorithm that scales to millions of active participants without compromising any bit on decentralization.
Dfinity soon realized that the key to scalability lay in having an unmanipulable source of randomness available. Hence they built a scalable decentralized random beacon, based on what they call the Threshold Relay technique, right into the foundation of the protocol. This strong foundation drives a scalable and fast consensus layer: On top of the beacon runs a blockchain which utilizes notarization by threshold groups to achieve near-instant finality. Details can be found in the overview paper that we are releasing today.
The roots of the DFINITY consensus mechanism date back to 2014 when thair Chief Scientist, Dominic Williams, started to look for more efficient ways to drive large consensus networks. Since then, much research has gone into the protocol and it took several iterations to reach its current design.
For any practical consensus system the difficulty lies in navigating the tight terrain that one is given between the boundaries imposed by theoretical impossibility-results and practical performance limitations.
The first key milestone was the novel Threshold Relay technique for decentralized, deterministic randomness, which is made possible by certain unique characteristics of the BLS signature system. The next breakthrough was the notarization technique, which allows DFINITY consensus to solve the traditional problems that come with proof-of-stake systems. Getting the security proofs sound was the final step before publication.
DFINITY consensus has made the proper trade-offs between the practical side (realistic threat models and security assumptions) and the theoretical side (provable security). Out came a flexible, tunable algorithm, which we expect will establish itself as the best performing proof-of-stake algorithm. In particular, having the built-in random beacon will prove to be indispensable when building out sharding and scalable validation techniques.
2.6 LINKEDUPThe startup has rather cheekily called this “an open version of LinkedIn,” the Microsoft-owned social network for professionals. Unlike LinkedIn, LinkedUp, which runs on any browser, is not owned or controlled by a corporate entity.
LinkedUp is built on Dfinity’s so-called Internet Computer, its name for the platform it is building to distribute the next generation of software and open internet services.
The software is hosted directly on the internet on a Switzerland-based independent data center, but in the concept of the Internet Computer, it could be hosted at your house or mine. The compute power to run the application LinkedUp, in this case — is coming not from Amazon AWS, Google Cloud or Microsoft Azure, but is instead based on the distributed architecture that Dfinity is building.
Specifically, Dfinity notes that when enterprises and developers run their web apps and enterprise systems on the Internet Computer, the content is decentralized across a minimum of four or a maximum of an unlimited number of nodes in Dfinity’s global network of independent data centers.
Dfinity is an open source for LinkedUp to developers for creating other types of open internet services on the architecture it has built.
“Open Social Network for Professional Profiles” suggests that on Dfinity model one can create “Open WhatsApp”, “Open eBay”, “Open Salesforce” or “Open Facebook”.
The tools include a Canister Software Developer Kit and a simple programming language called Motoko that is optimized for Dfinity’s Internet Computer.
“The Internet Computer is conceived as an alternative to the $3.8 trillion legacy IT stack, and empowers the next generation of developers to build a new breed of tamper-proof enterprise software systems and open internet services. We are democratizing software development,” Williams said. “The Bronze release of the Internet Computer provides developers and enterprises a glimpse into the infinite possibilities of building on the Internet Computer — which also reflects the strength of the Dfinity team we have built so far.”
Dfinity says its “Internet Computer Protocol” allows for a new type of software called autonomous software, which can guarantee permanent APIs that cannot be revoked. When all these open internet services (e.g. open versions of WhatsApp, Facebook, eBay, Salesforce, etc.) are combined with other open software and services it creates “mutual network effects” where everyone benefits.
On 1 November, DFINITY has released 13 new public versions of the SDK, to our second major milestone [at WEF Davos] of demoing a decentralized web app called LinkedUp on the Internet Computer. Subsequent milestones towards the public launch of the Internet Computer will involve:
2.7 WHAT IS MOTOKO?Motoko is a new software language being developed by the DFINITY Foundation, with an accompanying SDK, that is designed to help the broadest possible audience of developers create reliable and maintainable websites, enterprise systems and internet services on the Internet Computer with ease. By developing the Motoko language, the DFINITY Foundation will ensure that a language that is highly optimized for the new environment is available. However, the Internet Computer can support any number of different software frameworks, and the DFINITY Foundation is also working on SDKs that support the Rust and C languages. Eventually, it is expected there will be many different SDKs that target the Internet Computer.
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