Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks Conference Paper

abstract

  • 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.

publication date

  • 2017/8/27

edition

  • 742

keywords

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

International Standard Serial Number (ISSN)

  • 1865-0929

number of pages

  • 12

start page

  • 263

end page

  • 274