EA Based Approach for Resource Allocation in Cloud Computing

Abstract

Appealing to the requirement of energy savings, many approaches of energy-efficient locating sensing have been explored. Methods beyond the action of locating are somehow auxiliary, and most of the attentions are focused on locating sensing based methods. A class of lightweight positioning systems has been developed to explore a large part of the energy-accuracy trade-off space. These systems either reduce accuracy requirements, or aggressively use other cues to determine when and where to turn on EA. Implicitly or explicitly, these systems generally make several assumptions about the environment or about user activity. In this research, we proposed an energy efficient cloud based VM in which tasks can be achieved using better SLA and less energy.