OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

Resource allocation and cloudlets scheduling are fundamental problems in a cloud computing environment. The scheduled cloudlets must be executed efficiently by using the available resources to improve system performance. To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMi...

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Main Authors: Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.
Other Authors: 57449666500
Format: Review
Published: Little Lion Scientific 2023
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spelling my.uniten.dspace-269922023-05-29T17:38:28Z OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT Murad S.S. Badeel R. Alsandi N.S.A. Alshaaya R.F. Ahmed R.A. Muhammed A. Derahman M. 57449666500 57353950500 57449114300 57448895600 57449449400 25031823000 36023324000 Resource allocation and cloudlets scheduling are fundamental problems in a cloud computing environment. The scheduled cloudlets must be executed efficiently by using the available resources to improve system performance. To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. The main goal of this study is to obtain optimum results that satisfy the minimum completion time and achieve better utilization of resources, which lead to increased throughput. The algorithms were implemented in a Java environment. Results were discussed and analyzed by using formulas and were compared in percentages. According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific Final 2023-05-29T09:38:28Z 2023-05-29T09:38:28Z 2022 Review 2-s2.0-85124479692 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124479692&partnerID=40&md5=a18890f074f8d101eea1bcedb1c9d229 https://irepository.uniten.edu.my/handle/123456789/26992 100 2 480 506 Little Lion Scientific Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Resource allocation and cloudlets scheduling are fundamental problems in a cloud computing environment. The scheduled cloudlets must be executed efficiently by using the available resources to improve system performance. To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. The main goal of this study is to obtain optimum results that satisfy the minimum completion time and achieve better utilization of resources, which lead to increased throughput. The algorithms were implemented in a Java environment. Results were discussed and analyzed by using formulas and were compared in percentages. According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific
author2 57449666500
author_facet 57449666500
Murad S.S.
Badeel R.
Alsandi N.S.A.
Alshaaya R.F.
Ahmed R.A.
Muhammed A.
Derahman M.
format Review
author Murad S.S.
Badeel R.
Alsandi N.S.A.
Alshaaya R.F.
Ahmed R.A.
Muhammed A.
Derahman M.
spellingShingle Murad S.S.
Badeel R.
Alsandi N.S.A.
Alshaaya R.F.
Ahmed R.A.
Muhammed A.
Derahman M.
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
author_sort Murad S.S.
title OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
title_short OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
title_full OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
title_fullStr OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
title_full_unstemmed OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
title_sort optimized min-min task scheduling algorithm for scientific workflows in a cloud environment
publisher Little Lion Scientific
publishDate 2023
_version_ 1806425897904898048
score 13.222552