Increasing availability under mutual exclusion constraints with dynamic vote reassignment

Author:

Barbara Daniel1,Garcia-Molina Hector1,Spauster Annemarie1

Affiliation:

1. Princeton Univ., Princeton, NJ

Abstract

Voting is used commonly to enforce mutual exclusion in distributed systems. Each node is assigned a number of votes, and only the group with a majority of votes is allowed to perform a restricted operation. This paper describes techniques for dynamically reassigning votes upon node or link failure, in an attempt to make the system more resilient to future failures. We focus on autonomous methods for achieving this, that is, methods that allow the nodes to make independent choices about changing their votes and picking new vote values, rather than group consensus techniques that require tight coordination among the remaining nodes. Protocols are given which allow nodes to install new vote values while still maintaining mutual exclusion requirements. The lemmas and theorems to validate the protocols are presented. A simple example shows how to apply the method to a database object-locking scheme; the protocols, however, are versatile and general purpose , and can be used for any application requiring mutual exclusion. In addition, policies are presented that allow nodes to autonomously select their new vote values. Simulation results are presented comparing the autonomous methods to static vote assignments and to group consensus strategies. These results demonstrate that under high failure rates, dynamic vote reassignment shows great improvement over a static assignment of votes in terms of availability. In addition, many autonomous methods for determining a new vote assignment yield almost as much availability as a group consensus method and at the same time are faster and more flexible.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 42 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. Efficient Consensus-Free Weight Reassignment for Atomic Storage;2021 IEEE 20th International Symposium on Network Computing and Applications (NCA);2021-11-23

2. Peer-to-Peer Data Management;Principles of Distributed Database Systems;2019-12-03

3. Parallel Database Systems;Principles of Distributed Database Systems;2019-12-03

4. Database Integration—Multidatabase Systems;Principles of Distributed Database Systems;2019-12-03

5. Distributed Transaction Processing;Principles of Distributed Database Systems;2019-12-03

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