一种用于网络可靠性分析的敌对模型

IF 0.4 Q4 ECONOMICS
Dan Lena, F. Robledo, P. Romero
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引用次数: 6

摘要

在可靠性分析中,目标是确定系统一致运行的概率。我们介绍了Hostile模型,在该模型中,所研究的系统是一个网络,所有组件都可能发生故障(包括站点和链路),除了一个被称为终端的可区分的站点子集。敌对模型包括作为特殊情况的经典可靠性模型。因此,Hostile模型中网络的精确可靠性评估属于NP难计算问题。传统的经典可靠性模型方法,如粗糙蒙特卡罗、重要性抽样和递推方差约简,在这里适用于敌对模型。最后使用真实网络讨论了这些方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hostile model for network reliability analysis
In reliability analysis, the goal is to determine the probability of consistentoperation of a system. We introduce the Hostile model, where the system under study is a network, and all the components may fail (both sites and links), except for a distinguished subset of sites, called terminals. The Hostile model includes the Classical Reliability model as a particular case. As a corollary, the exact reliability evaluation of a network in the Hostile model belongs to the list of NP-hard computational problems. Traditional methods for the classical reliability model such as Crude Monte Carlo, Importance Sampling and Recursive Variance Reduction are here adapted for the Hostile model. The performance of these methods is finally discussed using real-life networks.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
5
审稿时长
22 weeks
期刊介绍: Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.
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