An enhanced architecture for big data task scheduling in cloud environment

Cloud computing is classified as one of the latest and fast growing technologies in the area of IT and engineering that offers resources such as software, hardware, network, storage, computing power as a service. The undeniable benefit of cloud computing is that it has elasticity that gives on-deman...

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Main Authors:	Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/10/50462_An%20enhanced%20architecture_text.pdf http://irep.iium.edu.my/50462/11/50462_An%20enhanced%20architecture_SCOPUS.pdf

id	iium-50462
recordtype	eprints
spelling	iium-504622017-06-13T04:46:20Z http://irep.iium.edu.my/50462/ An enhanced architecture for big data task scheduling in cloud environment Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke QA75 Electronic computers. Computer science Cloud computing is classified as one of the latest and fast growing technologies in the area of IT and engineering that offers resources such as software, hardware, network, storage, computing power as a service. The undeniable benefit of cloud computing is that it has elasticity that gives on-demand service. Therefore, users can access services anytime and anywhere without interruption, solving the problem of keeping huge hardware and storage in computers. However, how to deal with this increasing demand to allocate the jobs for processing is a hot issue. In addition, one of the main reason for users to send their data to the cloud is to reduce the cost while maintain their deadlines satisfied. Therefore, scheduling finds its main importance in allocating the jobs based on the resources. To this direction, in this paper we make a summary of some techniques used for scheduling and elaborate a novel architecture for processing and task scheduling adapted for big data applications. In this proposed architecture, each component has been defined in order to make smoother the implementation. American Scientific Publishers 2016-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/50462/10/50462_An%20enhanced%20architecture_text.pdf application/pdf en http://irep.iium.edu.my/50462/11/50462_An%20enhanced%20architecture_SCOPUS.pdf Diallo, Laouratou and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2016) An enhanced architecture for big data task scheduling in cloud environment. Advanced Science Letters, 22 (10). pp. 2963-2967. ISSN 1936-6612 http://www.ingentaconnect.com/contentone/asp/asl/2016/00000022/00000010/art00077 10.1166/asl.2016.7112
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Diallo, Laouratou Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke An enhanced architecture for big data task scheduling in cloud environment
description	Cloud computing is classified as one of the latest and fast growing technologies in the area of IT and engineering that offers resources such as software, hardware, network, storage, computing power as a service. The undeniable benefit of cloud computing is that it has elasticity that gives on-demand service. Therefore, users can access services anytime and anywhere without interruption, solving the problem of keeping huge hardware and storage in computers. However, how to deal with this increasing demand to allocate the jobs for processing is a hot issue. In addition, one of the main reason for users to send their data to the cloud is to reduce the cost while maintain their deadlines satisfied. Therefore, scheduling finds its main importance in allocating the jobs based on the resources. To this direction, in this paper we make a summary of some techniques used for scheduling and elaborate a novel architecture for processing and task scheduling adapted for big data applications. In this proposed architecture, each component has been defined in order to make smoother the implementation.
format	Article
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	An enhanced architecture for big data task scheduling in cloud environment
title_short	An enhanced architecture for big data task scheduling in cloud environment
title_full	An enhanced architecture for big data task scheduling in cloud environment
title_fullStr	An enhanced architecture for big data task scheduling in cloud environment
title_full_unstemmed	An enhanced architecture for big data task scheduling in cloud environment
title_sort	enhanced architecture for big data task scheduling in cloud environment
publisher	American Scientific Publishers
publishDate	2016
url	http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/ http://irep.iium.edu.my/50462/10/50462_An%20enhanced%20architecture_text.pdf http://irep.iium.edu.my/50462/11/50462_An%20enhanced%20architecture_SCOPUS.pdf
first_indexed	2023-09-18T21:11:20Z
last_indexed	2023-09-18T21:11:20Z
_version_	1777411272727330816

An enhanced architecture for big data task scheduling in cloud environment

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