Optimized Load Balancing based Task Scheduling in Cloud Environment

The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based...

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Main Authors:	Noraziah, Ahmad, Sultan, Elrasheed Ismail, Faisal, Alamri, Abdalla, Ahmed N.
Format:	Article
Language:	English
Published:	Inderscience 2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/1/mic1414.pdf

id	ump-9326
recordtype	eprints
spelling	ump-93262018-10-03T07:39:35Z http://umpir.ump.edu.my/id/eprint/9326/ Optimized Load Balancing based Task Scheduling in Cloud Environment Noraziah, Ahmad Sultan, Elrasheed Ismail Faisal, Alamri Abdalla, Ahmed N. QA75 Electronic computers. Computer science The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based on load balancing Quantum Particles Swarm algorithm (BLQPSO) was proposed. The fitness function based minimizing the makespan and data transmission cost. In addition, the salient feature of this algorithm is to optimize node available throughput dynamically using MatLab10A software. Furthermore, the performance of proposed algorithm had been compared with existing PSO and shows their effectiveness in balancing the load. Inderscience 2014-12-14 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9326/1/mic1414.pdf Noraziah, Ahmad and Sultan, Elrasheed Ismail and Faisal, Alamri and Abdalla, Ahmed N. (2014) Optimized Load Balancing based Task Scheduling in Cloud Environment. International Journal of Computer Applications in Technology, 1 (1). pp. 35-42. ISSN 0952-8091 (print); 1741-5047 (online) http://ijcaonline.com/proceedings/mic/number1/19035-1414
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Noraziah, Ahmad Sultan, Elrasheed Ismail Faisal, Alamri Abdalla, Ahmed N. Optimized Load Balancing based Task Scheduling in Cloud Environment
description	The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based on load balancing Quantum Particles Swarm algorithm (BLQPSO) was proposed. The fitness function based minimizing the makespan and data transmission cost. In addition, the salient feature of this algorithm is to optimize node available throughput dynamically using MatLab10A software. Furthermore, the performance of proposed algorithm had been compared with existing PSO and shows their effectiveness in balancing the load.
format	Article
author	Noraziah, Ahmad Sultan, Elrasheed Ismail Faisal, Alamri Abdalla, Ahmed N.
author_facet	Noraziah, Ahmad Sultan, Elrasheed Ismail Faisal, Alamri Abdalla, Ahmed N.
author_sort	Noraziah, Ahmad
title	Optimized Load Balancing based Task Scheduling in Cloud Environment
title_short	Optimized Load Balancing based Task Scheduling in Cloud Environment
title_full	Optimized Load Balancing based Task Scheduling in Cloud Environment
title_fullStr	Optimized Load Balancing based Task Scheduling in Cloud Environment
title_full_unstemmed	Optimized Load Balancing based Task Scheduling in Cloud Environment
title_sort	optimized load balancing based task scheduling in cloud environment
publisher	Inderscience
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/1/mic1414.pdf
first_indexed	2023-09-18T22:07:47Z
last_indexed	2023-09-18T22:07:47Z
_version_	1777414824435646464

Optimized Load Balancing based Task Scheduling in Cloud Environment

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