With the advancement in the technology, Cloud computing has made a remarkable presence in almost all applications and devices. In order to maintain this, a large amount of processing power and energy is required at the data center. The end-to-end timely delivery, minimum down time and enhanced user experience of data centers are majorly overloading the data center and due to this a large volume of energy in terms of power is consumed. On the other hand, the clients utilizing the cloud services are most of the time switched on and the CPU utilization of these systems are very less. The theme behind this work is to reduce the workload of the data center and utilize the idle CPU cycles of client side devices for computation. The consistent resource availability at the client side is computed and a part of the VM workload presented at the cloud is allocated to these idle resources identified with the help of heuristic algorithms. This ensures that the cloud servers are not overloaded and a considerable amount of energy in terms of power and heat can be reduced at cloud servers.
Volume 11 | 07-Special Issue
Pages: 1181-1187