复杂目标进化指导的高效网络能耗指导  

Distributed Energy and High Efficient Management of Network Based on Complex Evolution

作　　者：刘伟[1] 崔永锋[1] 

机构地区：[1]周口师范学院计算机科学与技术学院,河南周口466001

出　　处：《科技通报》2014年第4期125-127,共3页Bulletin of Science and Technology

基　　金：河南省重点科技攻关项目(102102210265);河南省基础与前沿研究项目(132300410400);河南省信息技术教育研究规划项目(ITE12064)

摘　　要：在分布式计算系统下,网络中各个计算机终端节点的能耗管理是下一代网络分布式计算发展的瓶颈问题。传统的能耗管理调度方法采用单台计算机为模型进行分析,无法全面的权衡网络系统中各个节点的平均能耗,无法达到最优的能耗管理。提出一种基于多目标进化的分布式网络能耗管理办法,采用进化的思想,对系统对每个个体划分相应的等级,在此基础上,采用先种群等级分割,后个体等级排序的方法确定分割度,最后根据模型最优化的方向实现资源最优调度。通过2000个随机任务在10台分布式计算机上的运行情况进行实验,结果表明,采用本文的调度算法后,能耗大大降低,并且算法稳定,可靠,工程应用性很强。In distributed computing system, it was a serious problem of energy management for each node in the network system to develop. In traditional method, a single computer analysis model was used, but it was difficult to judge and weight energy use of each node in the system and achieved the optimal management effect. A distributed energy optimal managementmodule of network based on multi-object evolution was proposed, the developmental method was used to divide each nodeto appropriate grade, and then, the dividing degree was ensured with population firstly and individuality secondly, at last,according to the module, the optimal management was achieved. 2000 random tasks were taken in 10 computers to test theability of energy management, and the result shows that with the proposed algorithm, the energy consumption is reducedgreatly. The algorithm is stable and useful for engineering application.

关 键 词：多目标进化 分布式网络 能耗管理 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]