Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks

Carlos Alberto Franco Franco, Juan Carlos Figueroa-Garcia, eduyn ramiro Lopéz-Santana

Resultado de la investigación: Contribución a Revista

1 Cita (Scopus)

Resumen

This paper presents a simulation approach of the problem of scheduling customers in a queuing networks using a fuzzy inference system. Usually, in the queuing systems there are rules as round robin, equiprobable, shortest queue, among others, to schedule customers, however the condition of the system like the cycle time, utilization and the length of queue is difficult to measure. We propose a fuzzy inference system in order to determine the status in the system using input variables like the length queue and utilization. Our simulation shows an improvement in the performance measures compared with traditional scheduling policies.
Idioma originalEnglish (US)
Páginas (desde-hasta)263 - 274
Número de páginas12
PublicaciónCommunications in Computer and Information Science
Volumen742
EstadoPublished - ago 27 2017

Huella dactilar

Queueing networks
Fuzzy Inference System
Queueing Networks
Task Scheduling
Fuzzy inference
Queue
Customers
Scheduling
Queuing Networks
Queuing System
Scheduling Policy
Queue Length
Performance Measures
Simulation
Schedule

Citar esto

Franco Franco, Carlos Alberto ; Figueroa-Garcia, Juan Carlos ; Lopéz-Santana, eduyn ramiro. / Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks. En: Communications in Computer and Information Science. 2017 ; Vol. 742. pp. 263 - 274.
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Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks. / Franco Franco, Carlos Alberto; Figueroa-Garcia, Juan Carlos ; Lopéz-Santana, eduyn ramiro.

En: Communications in Computer and Information Science, Vol. 742, 27.08.2017, p. 263 - 274.

Resultado de la investigación: Contribución a Revista

TY - JOUR

T1 - Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks

AU - Franco Franco, Carlos Alberto

AU - Figueroa-Garcia, Juan Carlos

AU - Lopéz-Santana, eduyn ramiro

PY - 2017/8/27

Y1 - 2017/8/27

N2 - This paper presents a simulation approach of the problem of scheduling customers in a queuing networks using a fuzzy inference system. Usually, in the queuing systems there are rules as round robin, equiprobable, shortest queue, among others, to schedule customers, however the condition of the system like the cycle time, utilization and the length of queue is difficult to measure. We propose a fuzzy inference system in order to determine the status in the system using input variables like the length queue and utilization. Our simulation shows an improvement in the performance measures compared with traditional scheduling policies.

AB - This paper presents a simulation approach of the problem of scheduling customers in a queuing networks using a fuzzy inference system. Usually, in the queuing systems there are rules as round robin, equiprobable, shortest queue, among others, to schedule customers, however the condition of the system like the cycle time, utilization and the length of queue is difficult to measure. We propose a fuzzy inference system in order to determine the status in the system using input variables like the length queue and utilization. Our simulation shows an improvement in the performance measures compared with traditional scheduling policies.

M3 - Conference article

VL - 742

SP - 263

EP - 274

JO - Communications in Computer and Information Science

JF - Communications in Computer and Information Science

SN - 1865-0929

ER -