Simulation of fuzzy inference system to task scheduling in queueing networks

Eduyn Ramiro López-Santana, Carlos Franco-Franco, Juan Carlos Figueroa-García

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

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 originalInglés estadounidense
Título de la publicación alojadaApplied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
EditoresJuan Carlos Figueroa-Garcia, Eduyn Ramiro Lopez-Santana, Roberto Ferro-Escobar, Jose Luis Villa-Ramirez
EditorialSpringer
Páginas263-274
Número de páginas12
ISBN (versión impresa)9783319669625
DOI
EstadoPublicada - 2017
Publicado de forma externa
Evento4th Workshop on Engineering Applications, WEA 2017 - Cartagena, Colombia
Duración: sep. 27 2017sep. 29 2017

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen742
ISSN (versión impresa)1865-0929

Conferencia

Conferencia4th Workshop on Engineering Applications, WEA 2017
País/TerritorioColombia
CiudadCartagena
Período9/27/179/29/17

Áreas temáticas de ASJC Scopus

  • Ciencia de la Computación General
  • Matemáticas General

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