Title | ||
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Controlling arrival and service of a two-removable-server system using genetic algorithm |
Abstract | ||
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This paper considers the optimal management problem of an M/M/2/K queueing system with controlling arrivals and services, in which the servers operate a tridic policy. By applying Markov process, some important performance measures are derived. A cost model is developed to determine the optimal threshold values and the optimal service rate at a minimum cost. Some illustrative examples are provided. The genetic algorithm is employed to search for the joint optimal values of control arrival and service parameters for the system. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1016/j.eswa.2011.02.011 | Expert Syst. Appl. |
Keywords | Field | DocType |
k queueing system,two-removable-server system,controlling arrival,genetic algorithm,optimal management problem,arrival epoch,cost model,joint optimal value,service completion,minimum cost,server startup,optimal threshold value,f -policy,control,markov process,service parameter,system size,control arrival,controllable queueing system,optimal service rate | Data mining,Mathematical optimization,Markov process,Server system,Computer science,Server,Real-time computing,Optimal management,Queueing system,Markovian arrival process,Genetic algorithm | Journal |
Volume | Issue | ISSN |
38 | 8 | Expert Systems With Applications |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsin-I. Huang | 1 | 43 | 5.05 |
Pi-Chun Hsu | 2 | 1 | 0.38 |
Jau-Chuan Ke | 3 | 348 | 44.17 |