Using Paxos to build a scalable, consistent, and highly available datastore

Author:

Rao Jun1,Shekita Eugene J.2,Tata Sandeep2

Affiliation:

1. LinkedIn Corporation

2. IBM Almaden Research Center

Abstract

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. The use of Paxos ensures that a data partition in Spinnaker will be available for reads and writes as long a majority of its replicas are alive. Unlike traditional master-slave replication, this is true regardless of the failure sequence that occurs. We show that Paxos replication can be competitive with alternatives that provide weaker consistency guarantees. Compared to an eventually consistent datastore, we show that Spinnaker can be as fast or even faster on reads and only 5% to 10% slower on writes.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 81 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Study Framework for Blockchain Consensus Algorithms;2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT);2024-05-14

2. Joining Parallel and Partitioned State Machine Replication Models for Enhanced Shared Logging Performance;12th Latin-American Symposium on Dependable and Secure Computing;2023-10-16

3. High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

4. Scalable and adaptive log manager in distributed systems;Frontiers of Computer Science;2022-08-08

5. In-network leaderless replication for distributed data stores;Proceedings of the VLDB Endowment;2022-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3