Computer Science ›› 2017, Vol. 44 ›› Issue (12): 75-79.doi: 10.11896/j.issn.1002-137X.2017.12.015

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Research on Fuzzy Decoupling Energy Efficiency Optimization Algorithm in Cloud Computing Environment

XING Wen-kai, GAO Xue-xia, HOU Xiao-mao and ZHAI Ping   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Under the premise of ensuring the high computing performance and excellent service quality of cloud computing environment,the optimization of system energy consumption has become the key problem for cloud computing’s wide promotion.In order to adapt to the multi-load and multi-task cloud computing environment,a fuzzy decoupling ener-gy efficiency optimization scheme was designed.Firstly,the input,output and intermediate variable parameters were set.Then FNN model and decoupling rules were established,key parameters for affecting the energy efficiency were extracted and optimized.This method can find and evaluate the key factors which affects the energy efficiency quickly,thus achieving stable and controllable energy efficiency optimization.Finally,the parameter disturbance self adjustment design was added,and fuzzy decoupling is adopted to adjust the parameter disturbance of the decoupling operation to improve the robustness of the system.

Key words: Cloud computing,Fuzzy decoupling,Energy efficiency optimization,Membership degree,FNN model,Robustness

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