Hybrid Bat Algorithm for Balancing Load in Cloud Computing

  • Authors

    • Shabnam Sharma
    • Dr. Sahil Verma
    • Dr. Kiran Jyoti
    • Dr. Kavita
    2018-10-04
    https://doi.org/10.14419/ijet.v7i4.12.20986
  • Bat Algorithm, Cloud Computing, Load Balancing, Swarm Intelligence

  • Abstract

    Swarm Intelligence is proven to be beneficial for solving many problems including knapsack problem, minimum spanning tree, planning problems, routing, load balancing and many more. Here, the focus of the work is on bat algorithm. Due to astonishing feature of echolocation, bat algorithm has drawn researcher’s attention in past years. It is applicable in solving different problems such vehicle routing optimization, time-tabling in railway optimization problems, load balancing in cloud computing etc. The main objective of this work is to propose a technique balancing the load among virtual machines in cloud computing environment.

     

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  • How to Cite

    Sharma, S., Sahil Verma, D., Kiran Jyoti, D., & Kavita, D. (2018). Hybrid Bat Algorithm for Balancing Load in Cloud Computing. International Journal of Engineering & Technology, 7(4.12), 26-29. https://doi.org/10.14419/ijet.v7i4.12.20986

    Received date: 2018-10-04

    Accepted date: 2018-10-04

    Published date: 2018-10-04