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A fuzzy inference system to scheduling tasks in queueing systems
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Autores
López-Santana E.R.
Franco Franco, Carlos Alberto
Figueroa-Garcia J.C.
Fecha
2017
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Springer Verlag
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Abstract
This paper studies the problem of scheduling customers or tasks in a queuing system. Generally the customers or a set of tasks in queuing system are attended according with different rules as round robin, equiprobable, shortest queue, among others. However, the condition of the system like the work in process, utilization and the length of queue is difficult to measure. We propose to use a fuzzy inference system in order to determine the status in the system depended of input variables like the length queue and the utilization. The experiment results shows an improvement in the performance measures compared with traditional scheduling policies. © Springer International Publishing AG 2017.
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Keywords
Fuzzy inference system , Queuing theory , Scheduling , Utilization
