OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network

Cloud Computing has emerged as a service model that offers online accessible resources to the clients. These resources contain storage, servers, and other applications and it provides security, flexibility, and scalability. In Max-Min algorithm where the large tasks have their priority to be schedul...

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Main Authors: Alhakimi, Mohammed Ameen, Latip, Rohaya
Format: Article
Language:English
Published: World Academy of Research in Science and Engineering 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81595/
http://psasir.upm.edu.my/id/eprint/81595/1/OTS%20an%20optimal%20tasks%20scheduling%20algorithm%20based%20on%20QoS%20in%20cloud%20computing%20network.pdf
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author Alhakimi, Mohammed Ameen
Latip, Rohaya
author_facet Alhakimi, Mohammed Ameen
Latip, Rohaya
author_sort Alhakimi, Mohammed Ameen
building UPM Institutional Repository
collection Online Access
description Cloud Computing has emerged as a service model that offers online accessible resources to the clients. These resources contain storage, servers, and other applications and it provides security, flexibility, and scalability. In Max-Min algorithm where the large tasks have their priority to be scheduled first this leads small tasks to stay longer in the queue until all huge tasks finished their execution. This study presents an optimal tasks scheduling algorithm by enhancing Max-Min algorithm. The simulation results have proven that the Proposed Optimal Tasks Scheduling OTS completes tasks execution with less execution time and higher performance compared with Max-Min and TS algorithms. The overall results show that the performance of the proposed algorithm achieved 6% better in terms of time execution compared of both of Max-Min and TS algorithms.
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spelling upm-815952020-11-03T20:39:51Z http://psasir.upm.edu.my/id/eprint/81595/ OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network Alhakimi, Mohammed Ameen Latip, Rohaya Cloud Computing has emerged as a service model that offers online accessible resources to the clients. These resources contain storage, servers, and other applications and it provides security, flexibility, and scalability. In Max-Min algorithm where the large tasks have their priority to be scheduled first this leads small tasks to stay longer in the queue until all huge tasks finished their execution. This study presents an optimal tasks scheduling algorithm by enhancing Max-Min algorithm. The simulation results have proven that the Proposed Optimal Tasks Scheduling OTS completes tasks execution with less execution time and higher performance compared with Max-Min and TS algorithms. The overall results show that the performance of the proposed algorithm achieved 6% better in terms of time execution compared of both of Max-Min and TS algorithms. World Academy of Research in Science and Engineering 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81595/1/OTS%20an%20optimal%20tasks%20scheduling%20algorithm%20based%20on%20QoS%20in%20cloud%20computing%20network.pdf Alhakimi, Mohammed Ameen and Latip, Rohaya (2019) OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.4). pp. 178-181. ISSN 2278-3091 10.30534/ijatcse/2019/2781.42019
spellingShingle Alhakimi, Mohammed Ameen
Latip, Rohaya
OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title_full OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title_fullStr OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title_full_unstemmed OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title_short OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network
title_sort ots: an optimal tasks scheduling algorithm based on qos in cloud computing network
url http://psasir.upm.edu.my/id/eprint/81595/
http://psasir.upm.edu.my/id/eprint/81595/
http://psasir.upm.edu.my/id/eprint/81595/1/OTS%20an%20optimal%20tasks%20scheduling%20algorithm%20based%20on%20QoS%20in%20cloud%20computing%20network.pdf