节点文献
云计算环境下的非线性能耗建模方法
Non-liner Energy Consumption Model for Cloud Computing
【摘要】 针对数据中心的计算节点建立精密的能耗模型来预测能耗状况很有必要.为了解决线性模型准确性不足的问题,提出了一种基于分段式CPU利用率的能耗模型,并且加入了内存和硬盘因素.在实验中发现了其他部件的耗能与CPU的内在联系,给出了潜在影响公式.随后,在单机环境和并行环境下验证了模型的准确性.
【Abstract】 With development of cloud computing and big data,the energy consumption of data center becomes more and more serious. It is necessary to establish a precise model of energy consumption for the computing node of the data center. In the most previous studies,linear system utilization is taken to establish the models of energy consumption. In order to solve the accuracy insufficient of linear model,a model of energy consumption based on the segmented CPU utilization was proposed when considering the memory and the hard drive at the same time. In the experiment,the inner relationship between the energy consumption and the CPU was found,and a formula of the potential influence of the components was proposed,and the accuracy of the model is verified in both single environment and parallel environment.
【Key words】 energy model; cloud computing; non-linear model; regression analysis;
- 【文献出处】 北京邮电大学学报 ,Journal of Beijing University of Posts and Telecommunications , 编辑部邮箱 ,2016年01期
- 【分类号】TP3;O212.1
- 【被引频次】5
- 【下载频次】180