Cloud Load Balancing Based on Ant Colony Optimization Algorithm

نویسندگان

  • Namrata Goswami
  • Kunjal Garala
  • Prashant Maheta
چکیده

Cloud Computing is growing rapidly and clients are demanding more services with better results. Therefore, load balancing as well as task scheduling in the Cloud has become a very interesting and important research area. In this paper, we present proposed approach for improving parameters in ant colonies function. The suggested definition of a new computational paradigm, is called Ant Colony Optimization (ACO) algorithm. Keywords—Load Balancing, Ant colony Optimization, Pheromone, CloudSim

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تاریخ انتشار 2015