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Dynamic routing to heterogeneous collections of unreliable servers
Authors:K D Glazebrook  C Kirkbride
Institution:(1) Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, U.K.;(2) Department of Management Science, Lancaster University, Lancaster, LA1 4YX, UK
Abstract:We argue the importance of problems concerning the dynamic routing of tasks for service in environments where the servers have diverse characteristics and are subject to breakdown. We propose a general model in which both service times and repair times at each machine are i.i.d.with some general distribution. Routing decisions take account of queue lengths, machine states (up or down), the elapsed processing times of jobs in service and the times to date of any machine repairs in progress. We develop an approach to machine calibration which yields a machine index which is a function of all of the preceding information. The heuristic which routes all tasks to the machine of current smallest index performs outstandingly well. The approach of the paper is flexible and is capable of yielding strongly performing routing policies for a range of variants of the basic model. These include cases where job processing is lost at each breakdown and where the machine state may be only partially observed. AMS Subject Classifications 49L20, 90B22
Keywords:Dynamic programming  Dynamic routing  Index policy  Lagrangian relaxation  Machine breakdowns  Policy improvement  Semi-Markov decision process
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