(多媒体)OceanStor Dorado 分布式文件系统 原理多媒体

海量数据下分布式数据库系统的探索与研究.docx

Ice 分布式程序设计（马维达译）文档版本，超详细介绍。

分布估计算法及其应用研究.pdf

分布式塔台模拟机中同步渲染算法的研究.pdf

分布式大规模图数据流式划分算法FENNEL的改进.pdf

分布式系统进程互斥算法的分析与改进.pdf

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.