Two objectives big data task scheduling using swarm intelligence in cloud computing

Cloud computing is the latest and the most used type of distributed computing systems and also it covers most of their features. It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. On the other hand, scheduling...

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Main Authors:	Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad
Format:	Article
Language:	English
Published:	Informatics Publishing Limited 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/1/Two%20Objectives%20Big%20Data%20task%20Scheduling%20using%20Swarm%20Intelligence%20in%20Cloud%20Computing.pdf

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spelling	iium-283022017-06-02T05:42:14Z http://irep.iium.edu.my/28302/ Two objectives big data task scheduling using swarm intelligence in cloud computing Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Islam, Shayla Zarir, Abdullah Ahmad QA75 Electronic computers. Computer science Cloud computing is the latest and the most used type of distributed computing systems and also it covers most of their features. It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. On the other hand, scheduling algorithms; starting from traditional to Hyper-heuristic; are widely used in computing systems such as cloud computing to monitor the use of resources. However, these scheduling algorithms vary in term of their performance and most of these traditional and simple scheduling algorithms may not be efficient for large scale data. Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. Either one of the objective is violated or the results are far from the optimal solution. In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. The proposed method is evaluated using CloudSim and big data applications are used as sample of applications. From the results, it can be seen that PSO works better for big data applications and the cost is reduced to more than half when compared with ordinary scheduling algorithms such as First-Come-First-Serve (FCFS). Informatics Publishing Limited 2016-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28302/1/Two%20Objectives%20Big%20Data%20task%20Scheduling%20using%20Swarm%20Intelligence%20in%20Cloud%20Computing.pdf Diallo, Laouratou and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke and Islam, Shayla and Zarir, Abdullah Ahmad (2016) Two objectives big data task scheduling using swarm intelligence in cloud computing. Indian Journal of Science and Technology, Indian Journal of Science and Technology, Vol 9(28, 9 (28). pp. 1-10. ISSN 0974-6846 E-ISSN 0974-5645 http://www.indjst.org/index.php/indjst/article/view/96635/71860 10.17485/ijst/2016/v9i28/96635
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Islam, Shayla Zarir, Abdullah Ahmad Two objectives big data task scheduling using swarm intelligence in cloud computing
description	Cloud computing is the latest and the most used type of distributed computing systems and also it covers most of their features. It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. On the other hand, scheduling algorithms; starting from traditional to Hyper-heuristic; are widely used in computing systems such as cloud computing to monitor the use of resources. However, these scheduling algorithms vary in term of their performance and most of these traditional and simple scheduling algorithms may not be efficient for large scale data. Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. Either one of the objective is violated or the results are far from the optimal solution. In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. The proposed method is evaluated using CloudSim and big data applications are used as sample of applications. From the results, it can be seen that PSO works better for big data applications and the cost is reduced to more than half when compared with ordinary scheduling algorithms such as First-Come-First-Serve (FCFS).
format	Article
author	Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Islam, Shayla Zarir, Abdullah Ahmad
author_facet	Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Islam, Shayla Zarir, Abdullah Ahmad
author_sort	Diallo, Laouratou
title	Two objectives big data task scheduling using swarm intelligence in cloud computing
title_short	Two objectives big data task scheduling using swarm intelligence in cloud computing
title_full	Two objectives big data task scheduling using swarm intelligence in cloud computing
title_fullStr	Two objectives big data task scheduling using swarm intelligence in cloud computing
title_full_unstemmed	Two objectives big data task scheduling using swarm intelligence in cloud computing
title_sort	two objectives big data task scheduling using swarm intelligence in cloud computing
publisher	Informatics Publishing Limited
publishDate	2016
url	http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/ http://irep.iium.edu.my/28302/1/Two%20Objectives%20Big%20Data%20task%20Scheduling%20using%20Swarm%20Intelligence%20in%20Cloud%20Computing.pdf
first_indexed	2023-09-18T20:41:48Z
last_indexed	2023-09-18T20:41:48Z
_version_	1777409414553141248

Two objectives big data task scheduling using swarm intelligence in cloud computing

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