Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks

  • Eduyn Ramiro López-SantanaEmail author
  • Carlos Franco-Franco
  • Juan Carlos Figueroa-García
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 742)


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.


Fuzzy logic Scheduling Queuing theory Utilization 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Eduyn Ramiro López-Santana
    • 1
    Email author
  • Carlos Franco-Franco
    • 2
  • Juan Carlos Figueroa-García
    • 1
  1. 1.Universidad Distrital Francisco José de CaldasBogotáColombia
  2. 2.Universidad de la SabanaChía-CundinamarcaColombia

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