Improved Honey Bee inspired load balancing of tasks with position updation

Abstract

Load balancing is an important aspect of cloud computing. To achieve optimal machine utilization, tasks from overloaded virtual machines should be transferred to under loaded virtual machines. In this paper, the honey bee foraging technique is improved by updating the position of bees. This algorithm mainly looks for better solutions by applying the knowledge of previous solutions. The search process is changed by introducing inertia weight and acceleration coefficients. The evaluation of performance is done by using clouds. Simulation results shows that the modified artificial bee colony algorithm with position updation reduces the make span as well as response time of the Virtual machine and hence it is significantly better than the original honey bee foraging technique.

Authors and Affiliations

Ms. Anna Baby

Keywords

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  • EP ID EP20321
  • DOI -
  • Views 241
  • Downloads 4

How To Cite

Ms. Anna Baby (2015). Improved Honey Bee inspired load balancing of tasks with position updation. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(4), -. https://europub.co.uk/articles/-A-20321