The Resource Configuration Method with Lower Energy Consumption Based on Prediction in Cloud Data Center

Journal of Networks

关键词: Resource Reconfiguration;    Utility Ratio Matrix;    Request Prediction;    Cloud Data Center;   

Others  :  964837
DOI  :  10.4304/jnw.9.7.1692-1700

【 摘 要 】

The cloud computing data center have numerous hosts as well as application requests. In future, the short response time and user Qos are required, and the lower electricity power consumption to build the low-carbon green network is an irrevocable trend. The paper first puts forward a reconfiguration framework based on the request prediction of Double Exponential Smoothing, On the basis, work out in advance the allocation scheme which can improve the resource utilization ratio as well as lower energy consumption. The paper also present a concept of Utility Ratio Matrix (URM) to represent allocations of hosts and Virtual Machines (VMs) and a reconfiguration algorithm. The algorithm can separate the reconfiguration computing from the real allocation so that it can avoid a time delay, and can also reduce the energy consumption in data center. The corresponding analysis and experimental results show the feasibility of the reconfiguration algorithm in this paper.

【 授权许可】

   
@ 2006-2014 by ACADEMY PUBLISHER – All rights reserved.