从Paxos到Zookeeper 分布式一致性原理与实践 倪超,完整版

Lamport Paxos 的这两篇论文真的很难懂，小编也是竭尽全力的推敲每一句话的意思，尽量的将Lamport的意思完整的呈现出来。希望大家支持一下。两篇论文大概码了3万多字，每一个公式都是手敲的… 为什么会研究Paxos？最近使用RockerMQ，发现其Broker的主从没有实现自动选主及同步，所以小编想从底层学习下RocketMQ，然后自己尝试去实现这一块。 当然这很难，也是一个挑战。 先从Paxos论文入手，后续再研究zab。 只有学会自己造轮子，才能学的更多！~

从Paxos到Zookeeper 分布式一致性原理与实践（书签版）从Paxos到Zookeeper 分布式一致性原理与实践（书签版）

raftjava 分布式一致性算法raft的java实现

#清磁盘啦~，CSDN“网盘”真好用，感谢CSDN~ Cloud Computing lab，本项目是基于eBay/Nuraft实现的分布式键值数据库（KV-store），包含两个版本，version1是通过终端直接对数据库进行操作，version2是构建了一个client端（类似于redis数据库），通过client端对数据库进行操作（client端通过套接字与数据库服务器建立连接），数据库每次只服务一个client端，设计当client端超过60s没有请求时断开连接。

DB - Consistency Tradeoffs in Modern Distributed Database System Design The CAP theorem’s impact on modern distributed database system design is more limited than is often perceived. Another tradeoff—between consistency and latency —has had a more direct influence on several well-known DDBSs. A proposed new formulation, PACELC, unifies this tradeoff with CAP.

Title : Designing Distributed Systems Using Approximate Synchrony in Data Center Networks.pdf Distributed systems are traditionally designed independently from the underlying network, making worst-case assumptions (e.g., complete asynchrony) about its behavior. However, many of today’s distributed applications are deployed in data centers, where the network is more reliable, predictable, and extensible. In these environments, it is possible to co-design distributed systems with their network

Raft is a consensus algorithm for managing a replicated log. It produces a result equivalent to (multi-)Paxos, and it is as efficient as Paxos, but its structure is different from Paxos; this makes Raft more understandable than Paxos and also provides a better foundation for building practical systems. In order to enhance understandability, Raft separates the key elements of consensus, such as leader election, log replication, and safety, and it enforces a stronger degree of coherency to reduce t

Paxos Replicated State Machines as the Basis of a High-Performance.pdf Conventional wisdom holds that Paxos is too expensive to use for high-volume, high-throughput, data-intensive applications. Consequently, fault-tolerant storage systems typically rely on special hardware, semantics weaker than sequential consistency, a limited update interface (such as append-only), primary-backup replication schemes that serialize all reads through the primary, clock synchronization for correctness

DB - Paxos vs Raft - Have we reached consensus on distributed consensus.pdf Distributed consensus is a fundamental primitive for constructing fault-tolerant, strongly-consistent distributed systems. Though many distributed consensus algorithms have been proposed, just two dominate production systems: Paxos, the traditional, famously subtle, algorithm; and Raft, a more recent algorithm positioned as a more understandable alternative to Paxos.