A krill herd behaviour inspired load balancing of tasks in cloud computing

A developing trend in the IT environment is mobile cloud computing (MCC) with colossal infrastructural and resource requirements. In the cloud computing environment, load balancing – a way of distributing workloads across numerous computing resources, is a vital aspect. A proficient load balancing g...

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Main Authors:	Hasan, Raed Abdulkareem, Mohammed, Muamer N.
Format:	Article
Language:	English
Published:	ICI Bucharest 2017
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/1/SIC_2017-4-Art.5.pdf

id	ump-22386
recordtype	eprints
spelling	ump-223862018-10-18T07:31:37Z http://umpir.ump.edu.my/id/eprint/22386/ A krill herd behaviour inspired load balancing of tasks in cloud computing Hasan, Raed Abdulkareem Mohammed, Muamer N. T Technology (General) A developing trend in the IT environment is mobile cloud computing (MCC) with colossal infrastructural and resource requirements. In the cloud computing environment, load balancing – a way of distributing workloads across numerous computing resources, is a vital aspect. A proficient load balancing guarantees an effective resource usage through the supply of network resources based on the user demands. It can also organize the network clients using the fitting planning criteria. This paper sets forth an advanced load balancing and energy/cost aware technique for a demand-based network resource allocation in cloud computing. The load balancing process in the proposed strategy utilizes a Krill load balancer (Krill LB) which is expected to achieve a well-balanced load over virtual machines. The aim of using the Krill LB as the load balancer is to increase the throughput of the network as much as possible. The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. Furthermore, a modified dynamic energy-aware cloudlet-based mobile cloud computing model (MDECM) was introduced for energy cost awareness in load balancing based on the service rate and energy of the mobile users. The proposed work was aimed at optimizing resource allocation in MCC in an energy-efficient manner. The performance of the suggested Krill-LB was benchmarked against that of Honey Bee Behavior Load Balancing (HBB-LB), Kill Herd, and Round Robin algorithms. ICI Bucharest 2017 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22386/1/SIC_2017-4-Art.5.pdf Hasan, Raed Abdulkareem and Mohammed, Muamer N. (2017) A krill herd behaviour inspired load balancing of tasks in cloud computing. Studies in Informatics and Control, 26 (24). pp. 413-424. ISSN 220-1766 https://sic.ici.ro/a-krill-herd-behaviour-inspired-load-balancing-of-tasks-in-cloud-computing/ https://doi.org/10.24846/v26i4y201705
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Hasan, Raed Abdulkareem Mohammed, Muamer N. A krill herd behaviour inspired load balancing of tasks in cloud computing
description	A developing trend in the IT environment is mobile cloud computing (MCC) with colossal infrastructural and resource requirements. In the cloud computing environment, load balancing – a way of distributing workloads across numerous computing resources, is a vital aspect. A proficient load balancing guarantees an effective resource usage through the supply of network resources based on the user demands. It can also organize the network clients using the fitting planning criteria. This paper sets forth an advanced load balancing and energy/cost aware technique for a demand-based network resource allocation in cloud computing. The load balancing process in the proposed strategy utilizes a Krill load balancer (Krill LB) which is expected to achieve a well-balanced load over virtual machines. The aim of using the Krill LB as the load balancer is to increase the throughput of the network as much as possible. The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. Furthermore, a modified dynamic energy-aware cloudlet-based mobile cloud computing model (MDECM) was introduced for energy cost awareness in load balancing based on the service rate and energy of the mobile users. The proposed work was aimed at optimizing resource allocation in MCC in an energy-efficient manner. The performance of the suggested Krill-LB was benchmarked against that of Honey Bee Behavior Load Balancing (HBB-LB), Kill Herd, and Round Robin algorithms.
format	Article
author	Hasan, Raed Abdulkareem Mohammed, Muamer N.
author_facet	Hasan, Raed Abdulkareem Mohammed, Muamer N.
author_sort	Hasan, Raed Abdulkareem
title	A krill herd behaviour inspired load balancing of tasks in cloud computing
title_short	A krill herd behaviour inspired load balancing of tasks in cloud computing
title_full	A krill herd behaviour inspired load balancing of tasks in cloud computing
title_fullStr	A krill herd behaviour inspired load balancing of tasks in cloud computing
title_full_unstemmed	A krill herd behaviour inspired load balancing of tasks in cloud computing
title_sort	krill herd behaviour inspired load balancing of tasks in cloud computing
publisher	ICI Bucharest
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/ http://umpir.ump.edu.my/id/eprint/22386/1/SIC_2017-4-Art.5.pdf
first_indexed	2023-09-18T22:33:18Z
last_indexed	2023-09-18T22:33:18Z
_version_	1777416429650313216

A krill herd behaviour inspired load balancing of tasks in cloud computing

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