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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/9326/1/mic1414.pdf
http://umpir.ump.edu.my/id/eprint/9326/
http://ijcaonline.com/proceedings/mic/number1/19035-1414
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id my.ump.umpir.9326
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/9326/1/mic1414.pdf
http://umpir.ump.edu.my/id/eprint/9326/
http://ijcaonline.com/proceedings/mic/number1/19035-1414
_version_ 1643666100066451456
score 13.211869

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