Development of heuristic task scheduling algorithm in cloud computing

As the immense growth of data have affected many organizations, there have been a need to adopt the cloud resources for processing big data applications which could cost highly by using traditional storage. In order to optimize these resources used, high level of scheduling algorit...

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Main Authors:	Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke
Format:	Conference or Workshop Item
Language:	English
Published:	Palestine Ahliya University 2016
Subjects:	T173.2 Technological change TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/55306/ http://irep.iium.edu.my/55306/1/55306_Development%20of%20Heuristic%20Task.pdf

id	iium-55306
recordtype	eprints
spelling	iium-553062017-02-27T03:07:02Z http://irep.iium.edu.my/55306/ Development of heuristic task scheduling algorithm in cloud computing Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke T173.2 Technological change TK7885 Computer engineering As the immense growth of data have affected many organizations, there have been a need to adopt the cloud resources for processing big data applications which could cost highly by using traditional storage. In order to optimize these resources used, high level of scheduling algorithms are required. As a result, many scheduling algorithms are proposed by researchers for scheduling big data analytics from static to heuristics algorithms. Therefore, heuristics algorithms are widely proposed recently for their capabilities of resources optimization in a range finite of time. It can be said that heuristics algorithms become the undeniable candidate for task scheduling big data analytics. To this direction, in this paper we make a summary of some scheduling algorithms and propose an Enhanced Greedy Heuristic Scheduling Algorithm (EGHSA) for task scheduling adapted for big data applications. The proposed algorithm is followed by a discussion in order to make smoother the implementation. Index Terms— Big Data Analytics, Cloud Computing, Heuristic, Scheduling, Static. Palestine Ahliya University 2016-03-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/55306/1/55306_Development%20of%20Heuristic%20Task.pdf Diallo, Laouratou and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2016) Development of heuristic task scheduling algorithm in cloud computing. In: 3rd International Conference on ICTs for Education and Training (TICET 2016), 12th-14th March 2016, Khartoum, Sudan.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T173.2 Technological change TK7885 Computer engineering
spellingShingle	T173.2 Technological change TK7885 Computer engineering Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke Development of heuristic task scheduling algorithm in cloud computing
description	As the immense growth of data have affected many organizations, there have been a need to adopt the cloud resources for processing big data applications which could cost highly by using traditional storage. In order to optimize these resources used, high level of scheduling algorithms are required. As a result, many scheduling algorithms are proposed by researchers for scheduling big data analytics from static to heuristics algorithms. Therefore, heuristics algorithms are widely proposed recently for their capabilities of resources optimization in a range finite of time. It can be said that heuristics algorithms become the undeniable candidate for task scheduling big data analytics. To this direction, in this paper we make a summary of some scheduling algorithms and propose an Enhanced Greedy Heuristic Scheduling Algorithm (EGHSA) for task scheduling adapted for big data applications. The proposed algorithm is followed by a discussion in order to make smoother the implementation. Index Terms— Big Data Analytics, Cloud Computing, Heuristic, Scheduling, Static.
format	Conference or Workshop Item
author	Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_facet	Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_sort	Diallo, Laouratou
title	Development of heuristic task scheduling algorithm in cloud computing
title_short	Development of heuristic task scheduling algorithm in cloud computing
title_full	Development of heuristic task scheduling algorithm in cloud computing
title_fullStr	Development of heuristic task scheduling algorithm in cloud computing
title_full_unstemmed	Development of heuristic task scheduling algorithm in cloud computing
title_sort	development of heuristic task scheduling algorithm in cloud computing
publisher	Palestine Ahliya University
publishDate	2016
url	http://irep.iium.edu.my/55306/ http://irep.iium.edu.my/55306/1/55306_Development%20of%20Heuristic%20Task.pdf
first_indexed	2023-09-18T21:18:11Z
last_indexed	2023-09-18T21:18:11Z
_version_	1777411703289413632

Development of heuristic task scheduling algorithm in cloud computing

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