Further combinatorial analysis of substar reliability in star networks

IF 1.1 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hao Li, Eminjan Sabir
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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.

星型网络中子星可靠性的进一步组合分析
子星可靠性定义为当故障发生时,星型网络中一定规模的无故障子星仍然可用的概率\(S_n\)。子星可靠性是一种最实用的可靠性度量方法,因为在当前星型多处理器中,每个用户都有一个特定的子星来执行他/她的程序。吴和拉蒂菲(英)Sci. 178(2008))通过分析不超过三个子星的交集,导出了\(S_n\)子星可靠性的上界。后来,Li等人(IEEE。译:Rel. 65(2016))通过考虑不超过四个子恒星的交集,推导了\(S_n\)子恒星可靠性的下界。在本文中,我们进一步推导了\(S_n\)的子星可靠性的上界和下界,分别考虑了不超过五个或四个子星的交集。得到了更精确的\(S_n\)子星可靠度上界值。实验研究表明,该方法的上下界与近似结果非常接近,特别是在节点可靠性值较低的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
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.
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