A survey of rollback-recovery protocols in message-passing systems

Author:

Elnozahy E. N. (Mootaz)1,Alvisi Lorenzo2,Wang Yi-Min3,Johnson David B.4

Affiliation:

1. IBM Research, Austin, TX

2. The University of Texas at Austin, Austin, TX

3. Microsoft Research, Redmond, WA

4. Rice University, Houston, TX

Abstract

This survey covers rollback-recovery techniques that do not require special language constructs. In the first part of the survey we classify rollback-recovery protocols into checkpoint-based and log-based. Checkpoint-based protocols rely solely on checkpointing for system state restoration. Checkpointing can be coordinated, uncoordinated, or communication-induced. Log-based protocols combine checkpointing with logging of nondeterministic events, encoded in tuples called determinants . Depending on how determinants are logged, log-based protocols can be pessimistic, optimistic, or causal. Throughout the survey, we highlight the research issues that are at the core of rollback-recovery and present the solutions that currently address them. We also compare the performance of different rollback-recovery protocols with respect to a series of desirable properties and discuss the issues that arise in the practical implementations of these protocols.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 752 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. From Reversible Computation to Checkpoint-Based Rollback Recovery for Message-Passing Concurrent Programs;Formal Aspects of Component Software;2024

2. A Survey of Actor-Like Programming Models for Serverless Computing;Lecture Notes in Computer Science;2024

3. A survey on the evolution of stream processing systems;The VLDB Journal;2023-11-22

4. Managing asynchronous workloads in a multi‐tenant microservice enterprise environment;Software: Practice and Experience;2023-10-20

5. Achieving Enhanced Performance Combining Checkpointing and Dynamic State Partitioning;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

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