dor_id: 4142989

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590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

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336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/1621/986

100.1.#.a: Narang, Sudha

524.#.#.a: Narang, Sudha (2023). Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing. Journal of Applied Research and Technology; Vol. 21 Núm. 2, 2023; 256-264. Recuperado de https://repositorio.unam.mx/contenidos/4142989

245.1.0.a: Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-04-27

653.#.#.a: Cloud computing; Load balancing; Task scheduling; Response Time; CloudSim Plus; Virtual Machines

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: Objectives Modern data centers serving web and mobile applications employ distributed load balancers. The Join Idle Queue (JIQ) algorithm is ideally suited for load balancing in a distributed setup. It attains fast response time by directing service requests to idle servers which can immediately process them. However, JIQ is not optimal in tracking idle servers leaving room for improvement. Methods We observed that JIQ assigns idle servers non-uniformly to load balancers leaving some load balancers with no access to idle servers. We propose a variant of the JIQ algorithm, Join Idle Queue Dispatcher I-queue Optimization (JIQ-DIO), which increases the probability of load balancers having access to idle servers without additional communication overhead leading to improved response time. Findings We simulated JIQ-DIO on CloudSim Plus 3.0 and compared it with standard JIQ and its different variants. JIQ-DIO was found to increase the probability of incoming requests being directed to idle servers and lead to more than two-fold improvement in response time across a broad range of parameters.

773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 2 (2023); 256-264

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

300.#.#.a: Páginas: 256-264

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.24486736e.2023.21.2.1621

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing

Narang, Sudha

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Narang, Sudha (2023). Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing. Journal of Applied Research and Technology; Vol. 21 Núm. 2, 2023; 256-264. Recuperado de https://repositorio.unam.mx/contenidos/4142989

Descripción del recurso

Autor(es)
Narang, Sudha
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing
Fecha
2023-04-27
Resumen
Objectives Modern data centers serving web and mobile applications employ distributed load balancers. The Join Idle Queue (JIQ) algorithm is ideally suited for load balancing in a distributed setup. It attains fast response time by directing service requests to idle servers which can immediately process them. However, JIQ is not optimal in tracking idle servers leaving room for improvement. Methods We observed that JIQ assigns idle servers non-uniformly to load balancers leaving some load balancers with no access to idle servers. We propose a variant of the JIQ algorithm, Join Idle Queue Dispatcher I-queue Optimization (JIQ-DIO), which increases the probability of load balancers having access to idle servers without additional communication overhead leading to improved response time. Findings We simulated JIQ-DIO on CloudSim Plus 3.0 and compared it with standard JIQ and its different variants. JIQ-DIO was found to increase the probability of incoming requests being directed to idle servers and lead to more than two-fold improvement in response time across a broad range of parameters.
Tema
Cloud computing; Load balancing; Task scheduling; Response Time; CloudSim Plus; Virtual Machines
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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