On the reliability of consensus-based fault-tolerant distributed computing systems

Author:

Babaoğlu Özalp1

Affiliation:

1. Cornell Univ., Ithaca, NY

Abstract

The designer of a fault-tolerant distributed system faces numerous alternatives. Using a stochastic model of processor failure times, we investigate design choices such as replication level, protocol running time, randomized versus deterministic protocols, fault detection, and authentication. We use the probability with which a system produces the correct output as our evaluation criterion. This contrasts with previous fault-tolerance results that guarantee correctness only if the percentage of faulty processors in the system can be bounded. Our results reveal some subtle and counterintuitive interactions between the design parameters and system reliability.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference28 articles.

1. Stopping times of distributed consensus protocols: A probabilistic analysis

2. BABAO~ LU 0. Distributed consensus in the presence of probabilistic failures. Dept. of Computer Science Cornell Univ. Ithaca N. Y. in preparation. BABAO~ LU 0. Distributed consensus in the presence of probabilistic failures. Dept. of Computer Science Cornell Univ. Ithaca N. Y. in preparation.

3. A Simple and Efficient Randomized Byzantine Agreement Algorithm

Cited by 21 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. Computer Science and Game Theory;The New Palgrave Dictionary of Economics;2018

2. Modeling security in cyber–physical systems;International Journal of Critical Infrastructure Protection;2012-12

3. Introduction;Principles of Distributed Database Systems, Third Edition;2011

4. Computer Science and Game Theory;Game Theory;2010

5. Computer Science and Game Theory;The New Palgrave Dictionary of Economics;2008

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