{"title":"On the split reliability of graphs","authors":"Jason I. Brown, Isaac McMullin","doi":"10.1002/net.22166","DOIUrl":null,"url":null,"abstract":"A common model of robustness of a graph against random failures has all vertices operational, but the edges independently operational with probability p$$ p $$ . One can ask for the probability that all vertices can communicate (all‐terminal reliability) or that two specific vertices (or terminals) can communicate with each other (two‐terminal reliability). A relatively new measure is split reliability, where for two fixed vertices s$$ s $$ and t$$ t $$ , we consider the probability that every vertex communicates with one of s$$ s $$ or t$$ t $$ , but not both. In this article, we explore the existence for fixed numbers n≥2$$ n\\ge 2 $$ and m≥n−1$$ m\\ge n-1 $$ of an optimal connected (n,m)$$ \\left(n,m\\right) $$ ‐graph Gn,m$$ {G}_{n,m} $$ for split reliability, that is, a connected graph with n$$ n $$ vertices and m$$ m $$ edges for which for any other such graph H$$ H $$ , the split reliability of Gn,m$$ {G}_{n,m} $$ is at least as large as that of H$$ H $$ , for all values of p∈[0,1]$$ p\\in \\left[0,1\\right] $$ . Unlike the similar problems for all‐terminal and two‐terminal reliability, where only partial results are known, we completely solve the issue for split reliability, where we show that there is an optimal (n,m)$$ \\left(n,m\\right) $$ ‐graph for split reliability if and only if n≤3$$ n\\le 3 $$ , m=n−1$$ m=n-1 $$ , or n=m=4$$ n=m=4 $$ .","PeriodicalId":54734,"journal":{"name":"Networks","volume":"82 1","pages":"177 - 185"},"PeriodicalIF":1.6000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/net.22166","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
A common model of robustness of a graph against random failures has all vertices operational, but the edges independently operational with probability p$$ p $$ . One can ask for the probability that all vertices can communicate (all‐terminal reliability) or that two specific vertices (or terminals) can communicate with each other (two‐terminal reliability). A relatively new measure is split reliability, where for two fixed vertices s$$ s $$ and t$$ t $$ , we consider the probability that every vertex communicates with one of s$$ s $$ or t$$ t $$ , but not both. In this article, we explore the existence for fixed numbers n≥2$$ n\ge 2 $$ and m≥n−1$$ m\ge n-1 $$ of an optimal connected (n,m)$$ \left(n,m\right) $$ ‐graph Gn,m$$ {G}_{n,m} $$ for split reliability, that is, a connected graph with n$$ n $$ vertices and m$$ m $$ edges for which for any other such graph H$$ H $$ , the split reliability of Gn,m$$ {G}_{n,m} $$ is at least as large as that of H$$ H $$ , for all values of p∈[0,1]$$ p\in \left[0,1\right] $$ . Unlike the similar problems for all‐terminal and two‐terminal reliability, where only partial results are known, we completely solve the issue for split reliability, where we show that there is an optimal (n,m)$$ \left(n,m\right) $$ ‐graph for split reliability if and only if n≤3$$ n\le 3 $$ , m=n−1$$ m=n-1 $$ , or n=m=4$$ n=m=4 $$ .
期刊介绍:
Network problems are pervasive in our modern technological society, as witnessed by our reliance on physical networks that provide power, communication, and transportation. As well, a number of processes can be modeled using logical networks, as in the scheduling of interdependent tasks, the dating of archaeological artifacts, or the compilation of subroutines comprising a large computer program. Networks provide a common framework for posing and studying problems that often have wider applicability than their originating context.
The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying out optimization on networks. The nonstandard modeling of diverse processes using networks and network concepts is also of interest. Consequently, the disciplines that are useful in studying networks are varied, including applied mathematics, operations research, computer science, discrete mathematics, and economics.
Networks publishes material on the analytic modeling of problems using networks, the mathematical analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. We do not typically publish works that fall in the realm of pure graph theory (without significant algorithmic and modeling contributions) or papers that deal with engineering aspects of network design. Since the audience for this journal is then necessarily broad, articles that impact multiple application areas or that creatively use new or existing methodologies are especially appropriate. We seek to publish original, well-written research papers that make a substantive contribution to the knowledge base. In addition, tutorial and survey articles are welcomed. All manuscripts are carefully refereed.