云环境下基于预测的能耗优化算法

Energy Optimization Algorithm Based on Predictive in Cloud Environment

近年来云计算技术发展迅猛,许多企业都将业务迁移到云端,如何提高云资源利用效率降低能耗是一个很多人在研究的问题。针对私有云环境中部署的Web服务提出一种基于负载预测的能耗优化算法,通过对系统负载进行预测并合理分配调度系统资源,有效提高资源利用效率并降低能耗,最后通过仿真实验验证该算法的可行性和有效性。

With the rapid development of cloud computing technology in recent years, many companies move their business to the cloud, and how to improve the efficiency of cloud resources then reduce energy consumption is a problem which attracts a lot of researchers. Aiming at the Web service deployed in the private cloud environment, puts forward an energy consumption optimization algorithm based on load forecasting. By forecasting the system load and allocating the dispatching system resources reasonably, the resource utilization efficiency and energy consumption are improved effectively. Finally, the feasibility and validity of the algorithm are verified by simulation experiments.