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.

State Machine Replication is More Expensive than Consensus.pdf Consensus and State Machine Replication (SMR) are generally considered to be equivalent problems. In certain system models, indeed, the two problems are computationally equivalent: any solution to the former problem leads to a solution to the latter, and vice versa. In this paper, we study the relation between consensus and SMR from a complexity perspective.

Unbounded Pipelining in Dynamically Reconfigurable Paxos Clusters.pdf Consensus is an essential ingredient of a faulttolerant distributed system systems. When equipped with a consensus algorithm a distributed system can act as a replicated state machine (RSM), duplicating its state across a cluster of redundant components to avoid the failure of any single component leading to a system-wide failure. Paxos and Raft are examples of algorithms for achieving distributed consensus.

Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore.pdf Spinnaker is an experimental datastore that is designed to run on a large cluster of commodity servers in a single datacenter. It features key-based range partitioning, 3-way replication, and a transactional get-put API with the option to choose either strong or timeline consistency on reads. This paper describes Spinnaker’s Paxos-based replication protocol.

目录网盘文件永久链接 01_大纲简介 02_redis官网查阅和基本配置 03_逐渐又加入了多线程特性 04_多线程io多路复用入门简介 05_TK Mapper之一键生成代码 06_srm框架整合理论说明 07_缓存案例-A 08_缓存案例-B 09_类型应用落地-A 10_类型应用落地-B 11_set的应用场景 12_zset应用场景 13_微信文章阅读量小厂统计 14_统计类型分析 15_bitmap日活统计 16_uvpvdau简介 17_去重复统计 18_hyper的基础命令 19_天猫网站首页亿级UV的Redis统计方案 20_GEO简介 21_GEO的命令 22_美团地图位置附近的酒店推送 23_布隆过滤器BloomFilter理论知识 24_布隆过滤器理论复习 25_缓存雪崩 26_缓存穿透和bloomFilter-helloworld 27_Guava解决缓存穿透 28_Redis布隆过滤器解决缓存穿透 29_docker安装rebloom 30_缓存击穿简介 31_高并发的淘宝聚划算案例落地 32_分布式锁理论简介 33_分布式锁的起手式案例有问题 .......

解析分布式系统的缓存设计.doc

干掉RedisHelper，请这样用分布式缓存.doc