Stakeholders interested in promoting their image as a reliability link for assisting the creation of blocks;. Nodes that want to increase their reputation among the NEO holders, which motivates holders to support their candidature and utilize their services. This tutorial will introduce the basic steps for understanding the importance of designing and developing such a mechanism for the NEO ecosystem. Distinguish Proof-of-Work and other consensus mechanisms based on coordination;.
Comprehend the design of a fully distributed network, in which consensus operates using digital signatures;. Improve this Doc In this article.
Zookeeper, etcd, and consul are all implementations of a key-value store atop a classical, non-BFT consensus algorithm. Zookeeper uses a version of Paxos called Zookeeper Atomic Broadcast, while etcd and consul use the Raft consensus algorithm, which is much younger and simpler. Each offering provides a slightly different implementation of a featureful key-value store, but all are generally focused around providing basic services to distributed systems, such as dynamic configuration, service discovery, locking, leader-election, and so on.
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The layout of this Tendermint website content is also ripped directly and without shame from consul. Tendermint emerged in the tradition of cryptocurrencies like Bitcoin, Ethereum, etc. Since then, Tendermint has evolved to be a general purpose blockchain consensus engine that can host arbitrary application states.
That means it can be used as a plug-and-play replacement for the consensus engines of other blockchain software. Indeed, we did that with Ethereum.
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And we plan to do the same for Bitcoin, ZCash, and various other deterministic applications as well. Another example of a cryptocurrency application built on Tendermint is the Cosmos network. It uses an implementation of PBFT.
An Introduction To Consensus Indicators
Burrow is an implementation of the Ethereum Virtual Machine and Ethereum transaction mechanics, with additional features for a name-registry, permissions, and native contracts, and an alternative blockchain API. It uses Tendermint as its consensus engine, and provides a particular application state. Using a monolithic architecture is typically bad practice in computer science. It makes it difficult to reuse components of the code, and attempts to do so result in complex maintenance procedures for forks of the codebase.
Another problem with monolithic design is that it limits you to the language of the blockchain stack or vice versa. In the case of Ethereum which supports a Turing-complete bytecode virtual-machine, it limits you to languages that compile down to that bytecode; today, those are Serpent and Solidity. In contrast, our approach is to decouple the consensus engine and P2P layers from the details of the application state of the particular blockchain application.
Introduction to Blockchain: Consensus
We do this by abstracting away the details of the application to an interface, which is implemented as a socket protocol. To draw an analogy, lets talk about a well-known cryptocurrency, Bitcoin. Tendermint is able to decompose the blockchain design by offering a very simple API ie. The ABCI consists of 3 primary message types that get delivered from the core to the application.
The application replies with corresponding response messages. The DeliverTx message is the work horse of the application. Each transaction in the blockchain is delivered with this message. The application needs to validate each transaction received with the DeliverTx message against the current state, application protocol, and the cryptographic credentials of the transaction.
Consensus Protocol Properties
A validated transaction then needs to update the application state — by binding a value into a key values store, or by updating the UTXO database, for instance. For instance, an application may check an incrementing sequence number in the transaction and return an error upon CheckTx if the sequence number is old. Alternatively, they might use a capabilities based system that requires capabilities to be renewed with every transaction. The Commit message is used to compute a cryptographic commitment to the current application state, to be placed into the next block header.
This has some handy properties. Inconsistencies in updating that state will now appear as blockchain forks which catches a whole class of programming errors. This also simplifies the development of secure lightweight clients, as Merkle-hash proofs can be verified by checking against the block hash, and that the block hash is signed by a quorum. There can be multiple ABCI socket connections to an application. Tendermint Core creates three ABCI connections to the application; one for the validation of transactions when broadcasting in the mempool, one for the consensus engine to run block proposals, and one more for querying the application state.
The diagram below illustrates the flow of messages via ABCI. The logic for blockchain transaction processing must be deterministic. Solidity on Ethereum is a great language of choice for blockchain applications because, among other reasons, it is a completely deterministic programming language.
Game programmers and blockchain developers are already familiar with creating deterministic programs by avoiding sources of non-determinism such as:. While programmers can avoid non-determinism by being careful, it is also possible to create a special linter or static analyzer for each language to check for determinism. In the future we may work with partners to create such tools. Tendermint is an easy-to-understand, mostly asynchronous, BFT consensus protocol. The protocol follows a simple state machine that looks like this:.
Related Introduction to Consensus
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