Work place: Department of Computer Science & Engineering, Guru Nanak Dev. University, Amritsar, Punjab
E-mail: Priyashrma630@gmail.com
Website:
Research Interests: Autonomic Computing, Computer Architecture and Organization, Distributed Computing, Data Structures and Algorithms
Biography
Priya Sharma is pursuing her M.tech in Computer science Engineering and Technology from Guru Nanak Dev University. Her research interests include cloud computing, grid and distributed computing. She has published various papers in the field of cloud computing.
DOI: https://doi.org/10.5815/ijisa.2018.07.04, Pub. Date: 8 Jul. 2018
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.
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