Home»Articles»Task Scheduling Algorithm Based on Bacterial Foraging Optimization (BFO) in Cloud Computing
Task Scheduling Algorithm Based on Bacterial Foraging Optimization (BFO) in Cloud Computing
Author : Anupama Gupta , Kulveer Kaur and Rajvir KaurVolume 7 No.1 January-June 2018 pp 16-19
Abstract
Cloud computing is the architecture in which cloudlets are executed by the virtual machines. The most applicable virtual machines are selected on the basis of execution time and failure rate. Due to virtual machine overloading, the execution time and energy consumption is increased at steady rate. In this paper, BFO technique is applied in which weight of each virtual machine is calculated and the virtual machine which has the maximum weight is selected on which cloudlet will be migrated. The performance of proposed algorithm is tested by implementing it in CloudSim and analyzing it in terms of execution time, energy consumption
Keywords
VM migration, Cloudlet, virtual machines, CloudSim
References
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Cloud computing is the architecture in which cloudlets are executed by the virtual machines. The most applicable virtual machines are selected on the basis of execution time and failure rate. Due to virtual machine overloading, the execution time and energy consumption is increased at steady rate. In this paper, BFO technique is applied in which weight of each virtual machine is calculated and the virtual machine which has the maximum weight is selected on which cloudlet will be migrated. The performance of proposed algorithm is tested by implementing it in CloudSim and analyzing it in terms of execution time, energy consumption
Editor-in-Chief
Dr. Seshadri Ramkumar
Department of Environmental Toxicology, Texas Tech University, Texas
s.ramkumar@ttu.edu
Editorial Advisory Board
Dr. Kamarul Ariffin Bin Noordin
Department of Electrical Engineering, University of Malaya, Malaysia
kamarul@um.edu.my
Dr. Benjamin T.F. Chung
Department of Mechanical Engineering, University of Akron, Akron, USA
bchung@uakron.edu
Dr. Mohd Faiz Bin Mohd Salleh
Department of Electrical Engineering, University of Malaya, Malaysia
faizsalleh@um.edu.my
Dr. Suhana Binti Mohd Said
Department of Electrical Engineering, University of Malaya, Malaysia
smsaid@um.edu.my
Dr. Norrima Binti Mokhtar
Department of Electrical Engineering, University of Malaya, Malaysia
norrimamokhtar@um.edu.my
2016
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- Asian Journal of Electrical Sciences(AJES) (UGC Approved)
- Asian Journal of Computer Science and Technology (AJCST) (UGC Approved)
- Asian Journal of Information Science and Technology (AJIST) (UGC Approved)
- Asian Journal of Engineering and Applied Technology (AJEAT)
- Asian Journal of Science and Applied Technology (AJSAT) (UGC Approved)
- Asian Journal of Managerial Science (AJMS) (UGC Approved)
- Asian Review of Social Sciences (ARSS) (UGC Approved)
2011
2010
Table of Contents
Editorial Note
Editor-in-Chief
Dr. Seshadri Ramkumar
Department of Environmental Toxicology, Texas Tech University, Texas
s.ramkumar@ttu.edu
Editorial Advisory Board
Dr. Kamarul Ariffin Bin Noordin
Department of Electrical Engineering, University of Malaya, Malaysia
kamarul@um.edu.my
Dr. Benjamin T.F. Chung
Department of Mechanical Engineering, University of Akron, Akron, USA
bchung@uakron.edu
Dr. Mohd Faiz Bin Mohd Salleh
Department of Electrical Engineering, University of Malaya, Malaysia
faizsalleh@um.edu.my
Dr. Suhana Binti Mohd Said
Department of Electrical Engineering, University of Malaya, Malaysia
smsaid@um.edu.my
Dr. Norrima Binti Mokhtar
Department of Electrical Engineering, University of Malaya, Malaysia
norrimamokhtar@um.edu.my
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