Optimal control of a single server in a finite-population queueing network
We study the optimal dynamic assignment of a single server to multiple stations in a finite-population queueing network. The objective is to maximize the long-run average reward/throughput. We use sample-path comparisons to identify conditions on the network structure and service time distributions...
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Veröffentlicht in: | Queueing systems 2017-02, Vol.85 (1-2), p.149-172 |
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creator | Argon, Nilay Tanık Deng, Chao Kulkarni, Vidyadhar G. |
description | We study the optimal dynamic assignment of a single server to multiple stations in a finite-population queueing network. The objective is to maximize the long-run average reward/throughput. We use sample-path comparisons to identify conditions on the network structure and service time distributions under which the optimal policy is an index policy. This index policy assigns the server to the non-empty station where it takes the shortest amount of time (in some stochastic sense) to complete a job. For example, in a network of multiple parallel stations, the optimal policy assigns the highest priority to the fastest station if service times can be ordered in likelihood ratios. Finally, by means of a numerical study, we test the shortest-expected-remaining-service-time policy on parallel-series networks with three stations and find that this index policy either coincides with the optimal policy or provides a near-optimal performance. |
doi_str_mv | 10.1007/s11134-016-9507-9 |
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subjects | Business and Management Computer Communication Networks Control Customer services Dynamic tests Employment Likelihood ratio Literature reviews Mathematical models Networks Nurses Operations Research/Decision Theory Optimization Policies Population Probability Theory and Stochastic Processes Queuing Scheduling Servers Servers (computers) Service stations Stations Studies Supply Chain Management Systems Theory |
title | Optimal control of a single server in a finite-population queueing network |
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