典型文献
QoS Prediction Model of Cloud Services Based on Deep Learning
文献摘要：
Dear editor,
This letter presents a deep learning-based prediction model for the quality-of-service (QoS) of cloud services. Specifically, to improve the QoS prediction accuracy of cloud services, a new QoS prediction model is proposed, which is based on multi-staged multi-metric feature fusion with individual evaluations. The multi-metric features include global, local, and individual ones. Experimental results show that the proposed model can provide more accurate QoS prediction results of cloud services than several state-of-the-art methods.
文献关键词：
中图分类号：
作者姓名：
WenJun Huang;PeiYun Zhang;YuTong Chen;MengChu Zhou;Yusuf Al-Turki;Abdullah Abusorrah
作者机构：
Nanjing University of Information Science&Technology,School of Computer and Software,Nanjing,China;New Jersey Institute of Technology,Helen and John C.Hartmann Department of Electrical and Computer Engineering,Newark,USA;Center of Research Excellence in Renewable Energy and Power Systems,Department of Electrical and Computer Engineering,Faculty of Engineering,and K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah 21589,Saudi Arabia
文献出处：
引用格式：
[1]WenJun Huang;PeiYun Zhang;YuTong Chen;MengChu Zhou;Yusuf Al-Turki;Abdullah Abusorrah-.QoS Prediction Model of Cloud Services Based on Deep Learning)[J].自动化学报（英文版）,2022(03):564-566
A类：
B类：
QoS,Prediction,Model,Cloud,Services,Based,Deep,Learning,Dear,editor,
This,letter,presents,deep,learning,prediction,model,quality,cloud,services,Specifically,improve,accuracy,new,proposed,which,multi,staged,metric,fusion,individual,evaluations,features,include,global,local,ones,Experimental,results,show,that,can,provide,more,accurate,than,several,state,art,methods
AB值：
0.619284
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