Improvement of Energy Efficiency in Cloud Computing by Load Balancing Algorithm

Abstract

The concept of Genetic algorithm is specifically useful in load balancing for best virtual machines distribution across servers. In this paper, we focus on load balancing and also on efficient use of resources to reduce the energy consumption without degrading cloud performance. Cloud computing is an on demand service in which shared resources, information, software and other devices are provided according to the clients requirement at specific time. It's a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud. Capital and operational costs can be cut using cloud computing. Cloud computing is defined as a large scale distributed computing paradigm that is driven by economics of scale in which a pool of abstracted virtualized dynamically scalable , managed computing power ,storage , platforms and services are delivered on demand to external customer over the internet. cloud computing is a recent field in the computational intelligence techniques which aims at surmounting the computational complexity and provides dynamically services using very large scalable and virtualized resources over the Internet. It is defined as a distributed system containing a collection of computing and communication resources located in distributed data enters which are shared by several end users. It has widely been adopted by the industry, though there are many existing issues like Load Balancing, Virtual Machine Migration, Server Consolidation, Energy Management, etc.