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Quantifying the performance effects of idle time utilization in multiserver systems
Authors:Naishuo Tian  Zhe George Zhang
Affiliation:1. Department of Mathematics, Yanshan University, Qinhuangdao, Hebei, China;2. Naishuo Tian, Department of Mathematics, Yanshan University, Qinhuangdao, Hebei, China;3. Zhe George Zhang, Department of Decision Sciences, College of Business and Economics, Western Washington University, Bellingham, Washington 98225‐9077;4. Department of Decision Sciences, College of Business and Economics, Western Washington University, Bellingham, Washington 98225‐9077
Abstract:In many practical multiserver queueing systems, servers not only serve randomly arriving customers but also work on the secondary jobs with infinite backlog during their idle time. In this paper, we propose a c‐server model with a two‐threshold policy, denoted by (e d), to evaluate the performance of this class of systems. With such a policy, when the number of idle servers has reached d (<c), then e (<d) idle agents will process secondary jobs. These e servers keep working on the secondary jobs until they find waiting customers exist in the system at a secondary job completion instant. Using the matrix analytic method, we obtain the stationary performance measures for evaluating different (e, d) policies. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007.
Keywords:M/M/c queue  (e, d) policy  server vacations  quasi‐birth and death process  matrix geometric solutions
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