Energy Efficiency in Cloud Data Centers Using Load Balancing

Cloud computing is an expanding area in research and industry today, which involves virtualization, distributed computing, internet, and software and web services. This paper presents an approach for scheduling algorithms that can maintain the load balancing. In this research work we have developed power optimization algorithm which over comes the limitations of the previous algorithms[Round Robin, Equally Spread Current Execution Algorithm, Throttled Load Balancing which are used for the over load management of the data leading to positive consequences in terms of overall power consumption of the data centre thus helping in green computing. As due to undue overload of traffic and then overhead due to mitigation and migration of the virtual machines to balance out the operations there is always an impact on the power consumption, if there is more overload, there is bound to be more power consumption, and if balancing works well, there is bound to be an optimized trade-off for energy consumption. Results have shown that overall impact of power consumption is reduced by using the proposed algorithm. KeywordsCloud computing, Green computing, Load balancing, Round robin, equally spread current execution, Throttled, Virtual machine.