An Efficient and Energy Saving DPS Algorithm Based on Adaptive Threshold in Cloud Computing

Abstract

With the increasing promotion and application of the cloud computing system, there are more and more servers in the system, which makes the data-handling capacity more and stronger and adds the energy consuming. Meanwhile, if the utilization rate of servers is low, much energy is wasted. To solve the server scheduling in clouding computing system, an efficient and energy saving DPS algorithm based on adaptive threshold is proposed. The proposed algorithm can’t only dynamically adjust the threshold according to the energy cost and number of the leaving task, which can reduce the energy cost. And it can balance the use of reserved servers, which can prolong life of server. Simulation demonstrates that compared with ETSP algorithm and DPECO algorithm, the proposed algorithm can efficiently reduce the energy cost in the condition of ensuring the average response time.