{"title":"Safety and Observibility of Distributed Broadcast Algorithms","authors":"M. Karaata, Aysha Dabees","doi":"10.1109/ELECS55825.2022.00010","DOIUrl":null,"url":null,"abstract":"In this paper, we first show the condition under which the transient faults are observable and the safety requirements are satisfied for a broadcast algorithm. Then we propose the first safe fault-containing and self-healing broadcast algorithm for locally observable faults in tree networks. A locally observable transient fault refers to a transient fault that perturbs the state of a process such that a faulty state of a process could be distinguished from a non-faulty state by all neighbours of the faulty process, and locally non-observable transient faults, otherwise. Our proposed algorithm contains and self-heals an unlimited number of transient faults in at most O(3) rounds provided that any two faulty processes are separated by two non-faulty processes.","PeriodicalId":320259,"journal":{"name":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECS55825.2022.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we first show the condition under which the transient faults are observable and the safety requirements are satisfied for a broadcast algorithm. Then we propose the first safe fault-containing and self-healing broadcast algorithm for locally observable faults in tree networks. A locally observable transient fault refers to a transient fault that perturbs the state of a process such that a faulty state of a process could be distinguished from a non-faulty state by all neighbours of the faulty process, and locally non-observable transient faults, otherwise. Our proposed algorithm contains and self-heals an unlimited number of transient faults in at most O(3) rounds provided that any two faulty processes are separated by two non-faulty processes.