• DocumentCode
    3762801
  • Title

    Bio inspired approach for load balancing to reduce energy consumption in cloud data center

  • Author

    Akhil Goyal;Navdeep S. Chahal

  • Author_Institution
    Software Technology Division, C-DAC, Mohali, India
  • fYear
    2015
  • Firstpage
    406
  • Lastpage
    410
  • Abstract
    Cloud computing has made it feasible to access various IT resources through a high speed network from anywhere in the world. Constant increasing demand of cloud computing is equally popular in consumers as well as providers. But along with advancement every technology is also associated with some ill effects. On same path, cloud computing also accompanies a serious issue with it and that issue is energy consumption. In this paper Firefly Algorithm has been selected as a proposed bio-inspired approach to perform load balancing to reduce energy consumption in cloud data center. Further, the results are compared with Particle Swarm optimization Algorithm (PSO). The energy consumed in case of Firefly Algorithm is less than energy consumed in PSO Algorithm.
  • Keywords
    "Optimization","Algorithm design and analysis","Particle swarm optimization","Load management","Quality of service","Heuristic algorithms","Load modeling"
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control and Intelligent Systems (CCIS), 2015
  • Type

    conf

  • DOI
    10.1109/CCIntelS.2015.7437950
  • Filename
    7437950