Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments

Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging issue in selecting suitab...

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Autores principales:	Mohammed Alaa Ala’anzy, Mohamed Othman, Zurina Mohd Hanapi, Mohamed A. Alrshah
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cloud computing cloudlet scheduling task allocation bio-inspired makespan resource utilisation Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/8d51c0b4127d4795b44dbe1bd0297be5
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spelling	oai:doaj.org-article:8d51c0b4127d4795b44dbe1bd0297be52021-11-11T19:15:35ZLocust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments10.3390/s212173081424-8220https://doaj.org/article/8d51c0b4127d4795b44dbe1bd0297be52021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7308https://doaj.org/toc/1424-8220Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging issue in selecting suitable data centres, servers (hosts), and virtual machines (VMs). Cloudlet scheduling is an NP-complete problem that can be solved using various meta-heuristic algorithms, which are quite popular due to their effectiveness. Massive user tasks and rapid growth in cloud resources have become increasingly complex challenges; therefore, an efficient algorithm is necessary for allocating cloudlets efficiently to attain better execution times, resource utilisation, and waiting times. This paper proposes a cloudlet scheduling, locust inspired algorithm to reduce the average makespan and waiting time and to boost VM and server utilisation. The CloudSim toolkit was used to evaluate our algorithm’s efficiency, and the obtained results revealed that our algorithm outperforms other state-of-the-art nature-inspired algorithms, improving the average makespan, waiting time, and resource utilisation.Mohammed Alaa Ala’anzyMohamed OthmanZurina Mohd HanapiMohamed A. AlrshahMDPI AGarticlecloud computingcloudlet schedulingtask allocationbio-inspiredmakespanresource utilisationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7308, p 7308 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud computing cloudlet scheduling task allocation bio-inspired makespan resource utilisation Chemical technology TP1-1185
spellingShingle	cloud computing cloudlet scheduling task allocation bio-inspired makespan resource utilisation Chemical technology TP1-1185 Mohammed Alaa Ala’anzy Mohamed Othman Zurina Mohd Hanapi Mohamed A. Alrshah Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
description	Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging issue in selecting suitable data centres, servers (hosts), and virtual machines (VMs). Cloudlet scheduling is an NP-complete problem that can be solved using various meta-heuristic algorithms, which are quite popular due to their effectiveness. Massive user tasks and rapid growth in cloud resources have become increasingly complex challenges; therefore, an efficient algorithm is necessary for allocating cloudlets efficiently to attain better execution times, resource utilisation, and waiting times. This paper proposes a cloudlet scheduling, locust inspired algorithm to reduce the average makespan and waiting time and to boost VM and server utilisation. The CloudSim toolkit was used to evaluate our algorithm’s efficiency, and the obtained results revealed that our algorithm outperforms other state-of-the-art nature-inspired algorithms, improving the average makespan, waiting time, and resource utilisation.
format	article
author	Mohammed Alaa Ala’anzy Mohamed Othman Zurina Mohd Hanapi Mohamed A. Alrshah
author_facet	Mohammed Alaa Ala’anzy Mohamed Othman Zurina Mohd Hanapi Mohamed A. Alrshah
author_sort	Mohammed Alaa Ala’anzy
title	Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
title_short	Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
title_full	Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
title_fullStr	Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
title_full_unstemmed	Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
title_sort	locust inspired algorithm for cloudlet scheduling in cloud computing environments
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8d51c0b4127d4795b44dbe1bd0297be5
work_keys_str_mv	AT mohammedalaaalaanzy locustinspiredalgorithmforcloudletschedulingincloudcomputingenvironments AT mohamedothman locustinspiredalgorithmforcloudletschedulingincloudcomputingenvironments AT zurinamohdhanapi locustinspiredalgorithmforcloudletschedulingincloudcomputingenvironments AT mohamedaalrshah locustinspiredalgorithmforcloudletschedulingincloudcomputingenvironments
_version_	1718431597262274560

Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments

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