International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.10, No.7, Jul. 2018
Hybrid Artificial Bee Colony and Tabu Search Based Power Aware Scheduling for Cloud Computing
Full Text (PDF, 827KB), PP.39-47
Load balancing is an important task on virtual machines (VMs) and also an essential aspect of task scheduling in clouds. When some Virtual machines are overloaded with tasks and other virtual machines are under loaded, the load needs to be balanced to accomplish optimum machine utilization. This paper represents an existing technique “artificial bee colony algorithm” which shows a low convergence rate to the global minimum even at high numbers of dimensions. The objective of this paper is to propose the integration of artificial bee colony with tabu search technique for cloud computing environment to enhance energy consumption rate. The main improvement is makespan 28.4 which aim to attain a well balanced load across virtual machines. The simulation result shows that the proposed algorithm is beneficial when compared with existing algorithms.
Cite This Paper
Priya sharma, Kiranbir kaur, "Hybrid Artificial Bee Colony and Tabu Search Based Power Aware Scheduling for Cloud Computing", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.7, pp.39-47, 2018. DOI: 10.5815/ijisa.2018.07.04
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