Simulation of fuzzy inference system to task scheduling in queueing networks

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

doi:10.1007/978-3-319-66963-2_24

Simulation of fuzzy inference system to task scheduling in queueing networks

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

Research output: Chapter in Book/Inform › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
Editors	Juan Carlos Figueroa-Garcia, Eduyn Ramiro Lopez-Santana, Roberto Ferro-Escobar, Jose Luis Villa-Ramirez
Publisher	Springer
Pages	263-274
Number of pages	12
ISBN (Print)	9783319669625
DOIs	https://doi.org/10.1007/978-3-319-66963-2_24
State	Published - 2017
Externally published	Yes
Event	4th Workshop on Engineering Applications, WEA 2017 - Cartagena, Colombia Duration: Sep 27 2017 → Sep 29 2017

Publication series

Name	Communications in Computer and Information Science
Volume	742
ISSN (Print)	1865-0929

Conference

Conference	4th Workshop on Engineering Applications, WEA 2017
Country/Territory	Colombia
City	Cartagena
Period	9/27/17 → 9/29/17

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-66963-2_24

Cite this

López-Santana, E. R., Franco-Franco, C., & Figueroa-García, J. C. (2017). Simulation of fuzzy inference system to task scheduling in queueing networks. In J. C. Figueroa-Garcia, E. R. Lopez-Santana, R. Ferro-Escobar, & J. L. Villa-Ramirez (Eds.), Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings (pp. 263-274). (Communications in Computer and Information Science; Vol. 742). Springer. https://doi.org/10.1007/978-3-319-66963-2_24

López-Santana, Eduyn Ramiro ; Franco-Franco, Carlos ; Figueroa-García, Juan Carlos. / Simulation of fuzzy inference system to task scheduling in queueing networks. Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. editor / Juan Carlos Figueroa-Garcia ; Eduyn Ramiro Lopez-Santana ; Roberto Ferro-Escobar ; Jose Luis Villa-Ramirez. Springer, 2017. pp. 263-274 (Communications in Computer and Information Science).

@inproceedings{5690fdcfba594960b8c64bc0f4ebe98e,

title = "Simulation of fuzzy inference system to task scheduling in queueing networks",

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.",

author = "L{\'o}pez-Santana, {Eduyn Ramiro} and Carlos Franco-Franco and Figueroa-Garc{\'i}a, {Juan Carlos}",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 4th Workshop on Engineering Applications, WEA 2017 ; Conference date: 27-09-2017 Through 29-09-2017",

year = "2017",

doi = "10.1007/978-3-319-66963-2_24",

language = "English (US)",

isbn = "9783319669625",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "263--274",

editor = "Figueroa-Garcia, {Juan Carlos} and Lopez-Santana, {Eduyn Ramiro} and Roberto Ferro-Escobar and Villa-Ramirez, {Jose Luis}",

booktitle = "Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings",

address = "Germany",

}

López-Santana, ER, Franco-Franco, C & Figueroa-García, JC 2017, Simulation of fuzzy inference system to task scheduling in queueing networks. in JC Figueroa-Garcia, ER Lopez-Santana, R Ferro-Escobar & JL Villa-Ramirez (eds), Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. Communications in Computer and Information Science, vol. 742, Springer, pp. 263-274, 4th Workshop on Engineering Applications, WEA 2017, Cartagena, Colombia, 9/27/17. https://doi.org/10.1007/978-3-319-66963-2_24

Simulation of fuzzy inference system to task scheduling in queueing networks. / López-Santana, Eduyn Ramiro; Franco-Franco, Carlos; Figueroa-García, Juan Carlos.
Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. ed. / Juan Carlos Figueroa-Garcia; Eduyn Ramiro Lopez-Santana; Roberto Ferro-Escobar; Jose Luis Villa-Ramirez. Springer, 2017. p. 263-274 (Communications in Computer and Information Science; Vol. 742).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

T1 - Simulation of fuzzy inference system to task scheduling in queueing networks

AU - López-Santana, Eduyn Ramiro

AU - Franco-Franco, Carlos

AU - Figueroa-García, Juan Carlos

PY - 2017

Y1 - 2017

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.

UR - http://www.scopus.com/inward/record.url?scp=85030027046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85030027046&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66963-2_24

DO - 10.1007/978-3-319-66963-2_24

M3 - Conference contribution

AN - SCOPUS:85030027046

SN - 9783319669625

T3 - Communications in Computer and Information Science

SP - 263

EP - 274

BT - Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings

A2 - Figueroa-Garcia, Juan Carlos

A2 - Lopez-Santana, Eduyn Ramiro

A2 - Ferro-Escobar, Roberto

A2 - Villa-Ramirez, Jose Luis

PB - Springer

T2 - 4th Workshop on Engineering Applications, WEA 2017

Y2 - 27 September 2017 through 29 September 2017

ER -

López-Santana ER, Franco-Franco C, Figueroa-García JC. Simulation of fuzzy inference system to task scheduling in queueing networks. In Figueroa-Garcia JC, Lopez-Santana ER, Ferro-Escobar R, Villa-Ramirez JL, editors, Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. Springer. 2017. p. 263-274. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-66963-2_24

Simulation of fuzzy inference system to task scheduling in queueing networks

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this