阈值自动机和拜占庭模型检查器的参数化验证研究

I. Konnov, Marijana Lazi'c, Ilina Stoilkovska, Josef Widder
{"title":"阈值自动机和拜占庭模型检查器的参数化验证研究","authors":"I. Konnov, Marijana Lazi'c, Ilina Stoilkovska, Josef Widder","doi":"10.46298/lmcs-19(1:5)2023","DOIUrl":null,"url":null,"abstract":"Threshold guards are a basic primitive of many fault-tolerant algorithms that\nsolve classical problems in distributed computing, such as reliable broadcast,\ntwo-phase commit, and consensus. Moreover, threshold guards can be found in\nrecent blockchain algorithms such as, e.g., Tendermint consensus. In this\narticle, we give an overview of techniques for automated verification of\nthreshold-guarded fault-tolerant distributed algorithms, implemented in the\nByzantine Model Checker (ByMC). These threshold-guarded algorithms have the\nfollowing features: (1) up to $t$ of processes may crash or behave Byzantine;\n(2) the correct processes count messages and make progress when they receive\nsufficiently many messages, e.g., at least $t+1$; (3) the number $n$ of\nprocesses in the system is a parameter, as well as the number $t$ of faults;\nand (4) the parameters are restricted by a resilience condition, e.g., $n >\n3t$. Traditionally, these algorithms were implemented in distributed systems\nwith up to ten participating processes. Nowadays, they are implemented in\ndistributed systems that involve hundreds or thousands of processes. To make\nsure that these algorithms are still correct for that scale, it is imperative\nto verify them for all possible values of the parameters.","PeriodicalId":314387,"journal":{"name":"Log. Methods Comput. Sci.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Survey on Parameterized Verification with Threshold Automata and the Byzantine Model Checker\",\"authors\":\"I. Konnov, Marijana Lazi'c, Ilina Stoilkovska, Josef Widder\",\"doi\":\"10.46298/lmcs-19(1:5)2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Threshold guards are a basic primitive of many fault-tolerant algorithms that\\nsolve classical problems in distributed computing, such as reliable broadcast,\\ntwo-phase commit, and consensus. Moreover, threshold guards can be found in\\nrecent blockchain algorithms such as, e.g., Tendermint consensus. In this\\narticle, we give an overview of techniques for automated verification of\\nthreshold-guarded fault-tolerant distributed algorithms, implemented in the\\nByzantine Model Checker (ByMC). These threshold-guarded algorithms have the\\nfollowing features: (1) up to $t$ of processes may crash or behave Byzantine;\\n(2) the correct processes count messages and make progress when they receive\\nsufficiently many messages, e.g., at least $t+1$; (3) the number $n$ of\\nprocesses in the system is a parameter, as well as the number $t$ of faults;\\nand (4) the parameters are restricted by a resilience condition, e.g., $n >\\n3t$. Traditionally, these algorithms were implemented in distributed systems\\nwith up to ten participating processes. Nowadays, they are implemented in\\ndistributed systems that involve hundreds or thousands of processes. To make\\nsure that these algorithms are still correct for that scale, it is imperative\\nto verify them for all possible values of the parameters.\",\"PeriodicalId\":314387,\"journal\":{\"name\":\"Log. Methods Comput. Sci.\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Log. Methods Comput. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46298/lmcs-19(1:5)2023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Log. Methods Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46298/lmcs-19(1:5)2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

阈值保护是许多容错算法的基本元素,用于解决分布式计算中的经典问题,如可靠广播、两阶段提交和一致性。此外,阈值保护可以在最近的区块链算法中找到,例如Tendermint共识。在本文中,我们概述了在拜占庭模型检查器(ByMC)中实现的阈值保护容错分布式算法的自动验证技术。这些阈值保护算法有以下特点:(1)多达$t$的进程可能会崩溃或表现出拜占庭式的行为;(2)正确的进程计数消息并在接收到足够多的消息时取得进展,例如,至少$t+1$;(3)系统中进程数$n$是一个参数,故障数$t$也是一个参数;(4)参数受弹性条件的限制,例如$n >3t$。传统上,这些算法是在分布式系统中实现的,有多达十个参与进程。如今,它们被实现为涉及数百或数千个流程的分布式系统。为了确保这些算法对于该比例仍然是正确的,必须对参数的所有可能值进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on Parameterized Verification with Threshold Automata and the Byzantine Model Checker
Threshold guards are a basic primitive of many fault-tolerant algorithms that solve classical problems in distributed computing, such as reliable broadcast, two-phase commit, and consensus. Moreover, threshold guards can be found in recent blockchain algorithms such as, e.g., Tendermint consensus. In this article, we give an overview of techniques for automated verification of threshold-guarded fault-tolerant distributed algorithms, implemented in the Byzantine Model Checker (ByMC). These threshold-guarded algorithms have the following features: (1) up to $t$ of processes may crash or behave Byzantine; (2) the correct processes count messages and make progress when they receive sufficiently many messages, e.g., at least $t+1$; (3) the number $n$ of processes in the system is a parameter, as well as the number $t$ of faults; and (4) the parameters are restricted by a resilience condition, e.g., $n > 3t$. Traditionally, these algorithms were implemented in distributed systems with up to ten participating processes. Nowadays, they are implemented in distributed systems that involve hundreds or thousands of processes. To make sure that these algorithms are still correct for that scale, it is imperative to verify them for all possible values of the parameters.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信