Optimal sequencing of warm standby elements

Authors:
Gregory Levitin;Liudong Xing;Yuanshun Dai
Affiliations:
Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China and The Israel Electric Corporation, P.O. Box 10, Haifa 31 ...;Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China and University of Massachusetts, Dartmouth, MA 02747, USA;Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China
Venue:
Computers and Industrial Engineering
Year:
2013

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Abstract

Warm standby redundancy has been used as an effective design technique for improving the reliability of a system while achieving the compromise between restoration cost and operation cost of standby elements. This paper considers the optimal standby element sequencing problem (SESP) for 1-out-of-N: G heterogeneous warm-standby systems. Given the desired redundancy level and a fixed set of element choices, the objective of the optimal system design is to select the initiation sequence of the system elements so as to minimize the expected mission cost of the system while providing a certain level of system reliability. Based on a discrete approximation of time-to-failure distributions of the system elements, the system reliability and expected mission cost are evaluated using an iterative procedure. A genetic algorithm is used as an optimization tool for solving the formulated SESP problem for 1-out-of-N: G warm-standby systems with non-identical elements. As illustrated through examples, results generated using the suggested methodology can facilitate the system reliability versus cost trade-off study, which can further assist in the decision making about the best standby policy for fault-tolerant system designs.