A Secured and Enhanced Energy Efficient Solution for Cloud Computing Environment

摘要

Owing to the requirement of energy savings, several approaches to location sensing based energy-efficient solutions have been explored. These approaches make assumptions about the user activity and generally reduce either the accuracy requirements or aggressively use other signals to determine when and where to turn on Evolutionary Algorithm. Moreover, the concerns like security, power consumption, service level agreement violation, performance degradation due to virtual machine task migration and optimization have still not been addressed completely. In this work, the virtual machine has been designed in such a way that tasks can be achieved using better service level agreement and less energy. To accomplish this, an enhanced Evolutionary Algorithm has been designed and implemented for minimizing power consumption without making significant modifications over the other areas to meet quality of Infrastructure as a Service. The security of this system is provided by applying the Fast Encryption Algorithm on binary images and text data.