TY - GEN
T1 - A fuzzy inference system to scheduling tasks in queueing systems
AU - López-Santana, Eduyn Ramiro
AU - Franco, Carlos
AU - Figueroa-Garcia, Juan Carlos
N1 - Funding Information:
Acknowledgement. We would like to acknowledge to Centro de Investigaciones y Desarrollo Científico at Universidad Distrital Francisco José de Caldas (Colombia) by supporting partially under Grant No. 2-602-468-14. Last, but not least, the authors would like to thank the comments of the anonymous referees that significantly improved our paper.
Publisher Copyright:
© Springer International Publishing AG 2017.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-319-63315-2_25
DO - 10.1007/978-3-319-63315-2_25
M3 - Conference contribution
AN - SCOPUS:85027863430
SN - 9783319633145
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 286
EP - 297
BT - Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Proceedings
A2 - Hussain, Abir
A2 - Han, Kyungsook
A2 - Huang, De-Shuang
A2 - Gromiha, M. Michael
PB - Springer
T2 - 13th International Conference on Intelligent Computing, ICIC 2017
Y2 - 7 August 2017 through 10 August 2017
ER -