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

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dc.citedby6
dc.contributor.authorMurad S.S.en_US
dc.contributor.authorBadeel R.en_US
dc.contributor.authorAlsandi N.S.A.en_US
dc.contributor.authorAlshaaya R.F.en_US
dc.contributor.authorAhmed R.A.en_US
dc.contributor.authorMuhammed A.en_US
dc.contributor.authorDerahman M.en_US
dc.contributor.authorid57449666500en_US
dc.contributor.authorid57353950500en_US
dc.contributor.authorid57449114300en_US
dc.contributor.authorid57448895600en_US
dc.contributor.authorid57449449400en_US
dc.contributor.authorid25031823000en_US
dc.contributor.authorid36023324000en_US
dc.date.accessioned2023-05-29T09:38:28Z
dc.date.available2023-05-29T09:38:28Z
dc.date.issued2022
dc.description.abstractResource 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 Scientificen_US
dc.description.natureFinalen_US
dc.identifier.epage506
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85124479692
dc.identifier.spage480
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124479692&partnerID=40&md5=a18890f074f8d101eea1bcedb1c9d229
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26992
dc.identifier.volume100
dc.publisherLittle Lion Scientificen_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleOPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENTen_US
dc.typeReviewen_US
dspace.entity.typePublication
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