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 sealability. In Max-Min algorithm where the large tasks have their priority to be schedul...

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Main Author:	Alhakimi, Mohammed Ameen Mohammed Abdo
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Cloud computing Computer networks
Online Access:	http://psasir.upm.edu.my/id/eprint/91947/1/FSKTM%202018%2036%20IR.pdf
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id	my-upm-ir.91947
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spelling	my-upm-ir.919472022-03-01T02:27:45Z An optimal tasks scheduling algorithm based on QoS in cloud computing network 2017 Alhakimi, Mohammed Ameen Mohammed Abdo 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 sealability. 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 large length tasks finished their execution. This study presents an optimal task scheduling algorithm by enhancing Max-Min and TS algorithm. Our proposed algorithm isolates the resources into two different groups where the first group contains the resources with maximum execution time while the second group contains the resources with minimum execution time. The main idea here is to choose the resource that takes less time to execute the selected job/task. Therefore, if the resource is from the first group then map the average length task to it and if the choosing resource is from the second group, then map the largest length task to it. The simulation tool used for testing the algorithm is WorkflowSim. We tested averages of execution time span of the proposed algorithm for 10 running times with 200-1000 tasks in 50 or 100 VMs. Test results show that the proposed algorithm represents enhanced resource utilization with better execution time. Cloud computing Computer networks 2017 Thesis http://psasir.upm.edu.my/id/eprint/91947/ http://psasir.upm.edu.my/id/eprint/91947/1/FSKTM%202018%2036%20IR.pdf text en public masters Universiti Putra Malaysia Cloud computing Computer networks Latip, Rohaya
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Latip, Rohaya
topic	Cloud computing Computer networks
spellingShingle	Cloud computing Computer networks Alhakimi, Mohammed Ameen Mohammed Abdo An optimal tasks scheduling algorithm based on QoS in cloud computing network
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 sealability. 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 large length tasks finished their execution. This study presents an optimal task scheduling algorithm by enhancing Max-Min and TS algorithm. Our proposed algorithm isolates the resources into two different groups where the first group contains the resources with maximum execution time while the second group contains the resources with minimum execution time. The main idea here is to choose the resource that takes less time to execute the selected job/task. Therefore, if the resource is from the first group then map the average length task to it and if the choosing resource is from the second group, then map the largest length task to it. The simulation tool used for testing the algorithm is WorkflowSim. We tested averages of execution time span of the proposed algorithm for 10 running times with 200-1000 tasks in 50 or 100 VMs. Test results show that the proposed algorithm represents enhanced resource utilization with better execution time.
format	Thesis
qualification_level	Master's degree
author	Alhakimi, Mohammed Ameen Mohammed Abdo
author_facet	Alhakimi, Mohammed Ameen Mohammed Abdo
author_sort	Alhakimi, Mohammed Ameen Mohammed Abdo
title	An optimal tasks scheduling algorithm based on QoS in cloud computing network
title_short	An optimal tasks scheduling algorithm based on QoS in cloud computing network
title_full	An optimal tasks scheduling algorithm based on QoS in cloud computing network
title_fullStr	An optimal tasks scheduling algorithm based on QoS in cloud computing network
title_full_unstemmed	An optimal tasks scheduling algorithm based on QoS in cloud computing network
title_sort	optimal tasks scheduling algorithm based on qos in cloud computing network
granting_institution	Universiti Putra Malaysia
publishDate	2017
url	http://psasir.upm.edu.my/id/eprint/91947/1/FSKTM%202018%2036%20IR.pdf
_version_	1747813695488000000

An optimal tasks scheduling algorithm based on QoS in cloud computing network

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