To solve the current high energy consumption problem in cloud computing, the paper proposes an energy saving strategy--- Computing Resources Dynamic Power-aware CRDP. For the case of multiple tasks on one server in cloud computing system, the strategy tries to set processor supply voltage to lower level when a task is finished and the computing resource it possesses is idle to reduce the energy consumption caused by computing resource idle. And the lowing of supply voltage is within left unfinished tasks response time constraint to ensure the system performance. Based on process analysis of executing tasks on a server, energy consumption model and performance model of system are built. Simulation results show that the CRDP can improve the energy efficiency while meeting the quality of service requirement.
['Xiaojie Zhang', 'Nao Wang', 'Xin Zheng', 'Caocai Wang', 'Dongmei Bin']
Energy Saving Mechanism Analysis Based on Dynamic Resource Scaling for Cloud Computing