An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure

Abstract In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues. In the proposed algorithm, every solution is represented by fruit fly. Every fr...

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Autor principal:	K. Loheswaran
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/32e2d64796e1404c8f4546bb4f57da7a
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spelling	oai:doaj.org-article:32e2d64796e1404c8f4546bb4f57da7a2021-11-17T13:28:34ZAn upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure2047-49622047-495410.1049/ntw2.12001https://doaj.org/article/32e2d64796e1404c8f4546bb4f57da7a2021-01-01T00:00:00Zhttps://doi.org/10.1049/ntw2.12001https://doaj.org/toc/2047-4954https://doaj.org/toc/2047-4962Abstract In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues. In the proposed algorithm, every solution is represented by fruit fly. Every fruit fly upgrades their status through well‐organized smell search process. First, a basic approach is put forward to allocate every task for numerous resources and execution time is measured for every task. Second, the overloaded virtual machines (VMs) are identified and the load is balanced to obtain optimal system resource utilisation. The ability of Fly Task Scheduling Algorithm is to schedule the VMs execution time of tasks is minimal. The results of the Fruit Fly‐based algorithms such as Fruit Fly Task Scheduling Algorithm, Modified Fruit Fly Task Scheduling Algorithm, Improved Fruit Fly Task Scheduling Algorithm and Multi‐Swarm Fruit Fly Task Scheduling Algorithm (MSFFTSA) are proposed and analysed. The upgraded Fruit Fly Optimization algorithm of MSFFTSA is compared with different Fruit Fly algorithms. Finally, the proposed algorithm is compared with other algorithms and the experimental results shows that the proposed MSFFTSA technique is better than the other algorithms of the fruit fly algorithms.K. LoheswaranWileyarticleTelecommunicationTK5101-6720ENIET Networks, Vol 10, Iss 1, Pp 24-33 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 K. Loheswaran An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
description	Abstract In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues. In the proposed algorithm, every solution is represented by fruit fly. Every fruit fly upgrades their status through well‐organized smell search process. First, a basic approach is put forward to allocate every task for numerous resources and execution time is measured for every task. Second, the overloaded virtual machines (VMs) are identified and the load is balanced to obtain optimal system resource utilisation. The ability of Fly Task Scheduling Algorithm is to schedule the VMs execution time of tasks is minimal. The results of the Fruit Fly‐based algorithms such as Fruit Fly Task Scheduling Algorithm, Modified Fruit Fly Task Scheduling Algorithm, Improved Fruit Fly Task Scheduling Algorithm and Multi‐Swarm Fruit Fly Task Scheduling Algorithm (MSFFTSA) are proposed and analysed. The upgraded Fruit Fly Optimization algorithm of MSFFTSA is compared with different Fruit Fly algorithms. Finally, the proposed algorithm is compared with other algorithms and the experimental results shows that the proposed MSFFTSA technique is better than the other algorithms of the fruit fly algorithms.
format	article
author	K. Loheswaran
author_facet	K. Loheswaran
author_sort	K. Loheswaran
title	An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
title_short	An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
title_full	An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
title_fullStr	An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
title_full_unstemmed	An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
title_sort	upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/32e2d64796e1404c8f4546bb4f57da7a
work_keys_str_mv	AT kloheswaran anupgradedfruitflyoptimisationalgorithmforsolvingtaskschedulingandresourcemanagementproblemincloudinfrastructure AT kloheswaran upgradedfruitflyoptimisationalgorithmforsolvingtaskschedulingandresourcemanagementproblemincloudinfrastructure
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An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure

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