计算机科学 ›› 2017, Vol. 44 ›› Issue (12): 75-79.doi: 10.11896/j.issn.1002-137X.2017.12.015
邢文凯,高雪霞,侯小毛,翟萍
XING Wen-kai, GAO Xue-xia, HOU Xiao-mao and ZHAI Ping
摘要： 在保证云计算环境的高计算性能和较优服务质量的前提下,系统能效优化成为推广云计算所要重点解决的问题。为了适应多负载和多任务的云计算任务环境,设计了一种模糊解耦能效优化方案。首先进行输入输出及中间变量参数的设定；然后建立模糊神经网络(Fuzzy Neural Network,FNN)模型及解耦规则,对影响能效指标的关键参数进行提取和优化,该方法能快速找到影响能效的关键因素并对其进行评估,从而实现稳定可控的能效优化；最后加入模糊解耦的参数扰动自调整设计,对解耦运算遇到的参数扰动进行自适应调整,提高系统的鲁棒性。
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