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Optimized Load Balancing based Task Scheduling in Cloud Environment

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)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Cloud computing, scheduling, Load balancing, Storage System, Virtual machines
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 18 Jun 2015 03:36
Last Modified: 03 Oct 2018 07:39
URI: http://umpir.ump.edu.my/id/eprint/9326
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