Simple (incomplete) implementation of Raft consensus
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Updated
Sep 3, 2018 - Go
Simple (incomplete) implementation of Raft consensus
A key-value storage system that can continue to operate in the face of failures, such as server crashes. This is achieved by using the Raft protocol.
A simple implementation of raft to see how raft works
Alexandria (named after the Library of Alexandria) is a in-memory, distributed key-value store written in Go. It is NoSQL, eventually consistent, and highly available.
Rafty - Simulation of Raft processes
a fault-tolerant key/value storage system on top of Raft consensus algorithm
Projects of MIT 6.824 Distributed Systems 17spring
A scalabale and fault-tolerated cloud-based file storage service system based on RAFT
This project is to develop a distributed file system that conducts basic file handling operations such as file write, read, delete, and update.
Homebaked etcd as a graduation project
Raft Consensus Algorithm with gRPC & Go
A distributed fault-tolerant in-memory key-value store implemented with the raft protocol.
A production-ready distributed fault-tolerant commit log service
Raft consensus algorithm. Based on MIT 6.824.
Go implemented, fault tolerant distributed system based on RAFT consesus algorithm.
Implementation of Raft consensus algorithm in GO
Implementation of Raft: A distributed consensus protocol, in Go.
distributed leveldb with raft
This repo records the shared key-value storge based on raft.
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