{"title":"Further combinatorial analysis of substar reliability in star networks","authors":"Hao Li, Eminjan Sabir","doi":"10.1007/s10878-025-01315-1","DOIUrl":null,"url":null,"abstract":"<p>Substar reliability defined as the probability that a fault-free substar of a certain scale is still available in the star network <span>\\(S_n\\)</span> when the occurrence of faults. The substar reliability is one of the most practical reliability measures because a user in the current star multiprocessors is given a certain substar for the execution of his/her program. Wu and Latifi(Inf. Sci. 178 (2008)) derived upper-bound on the substar reliability of <span>\\(S_n\\)</span> by analysing the intersection of no more than three substars. Later, Li et al.(IEEE. Trans. Rel. 65 (2016)) derived lower-bound on the substar reliability of <span>\\(S_n\\)</span> by considering the intersection of no more than four substars. In the paper, we further derive the upper- and lower bounds on the substar reliability of <span>\\(S_n\\)</span> by taking into account the intersection of no more than five or four substars, respectively. At a result, we obtain more accurate value of the upper-bound on substar reliability of <span>\\(S_n\\)</span>. The experimental study indicates that both the upper- and lower bounds are very close to approximate results especially for the low value of the node reliability.</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"56 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Combinatorial Optimization","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10878-025-01315-1","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Substar reliability defined as the probability that a fault-free substar of a certain scale is still available in the star network \(S_n\) when the occurrence of faults. The substar reliability is one of the most practical reliability measures because a user in the current star multiprocessors is given a certain substar for the execution of his/her program. Wu and Latifi(Inf. Sci. 178 (2008)) derived upper-bound on the substar reliability of \(S_n\) by analysing the intersection of no more than three substars. Later, Li et al.(IEEE. Trans. Rel. 65 (2016)) derived lower-bound on the substar reliability of \(S_n\) by considering the intersection of no more than four substars. In the paper, we further derive the upper- and lower bounds on the substar reliability of \(S_n\) by taking into account the intersection of no more than five or four substars, respectively. At a result, we obtain more accurate value of the upper-bound on substar reliability of \(S_n\). The experimental study indicates that both the upper- and lower bounds are very close to approximate results especially for the low value of the node reliability.
期刊介绍:
The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering.
The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.