典型文献
Splitting and placement of data-intensive applications with machine learning for power system in cloud computing
文献摘要：
Aiming to meet the growing demand for observation and analysis in power systems that based on Internet of Things(IoT),machine learning technology has been adopted to deal with the data-intensive power electronics applications in IoT.By feeding previous power electronic data into the learning model,accurate information is drawn,and the quality of IoT-based power services is improved.Generally,the data-intensive electronic appli-cations with machine learning are split into numerous data/control constrained tasks by workflow technology.The efficient execution of this data-intensive Power Workflow(PW)needs massive computing resources,which are available in the cloud infrastructure.Nevertheless,the execution efficiency of PW decreases due to inap-propriate sub-task and data placement.In addition,the power consumption explodes due to massive data acquisition.To address these challenges,a PW placement method named PWP is devised.Specifically,the Non-dominated Sorting Differential Evolution(NSDE)is used to generate placement strategies.The simulation ex-periments show that PWP achieves the best trade-off among data acquisition time,power consumption,load distribution and privacy preservation,confirming that PWP is effective for the placement problem.
文献关键词：
中图分类号：
作者姓名：
Zhanyang Xu;Dawei Zhu;Jinhui Chen;Baohua Yu
作者机构：
School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing,China;College of Information Science and Technology,Shihezi University,Xinjiang,China
文献出处：
引用格式：
[1]Zhanyang Xu;Dawei Zhu;Jinhui Chen;Baohua Yu-.Splitting and placement of data-intensive applications with machine learning for power system in cloud computing)[J].数字通信与网络（英文）,2022(04):476-484
A类：
Workflow,inap,explodes
B类：
Splitting,placement,data,intensive,applications,machine,learning,power,cloud,computing,Aiming,meet,growing,demand,observation,analysis,systems,that,Internet,Things,IoT,technology,has,been,adopted,deal,electronics,By,feeding,previous,into,model,accurate,information,drawn,quality,services,improved,Generally,are,split,numerous,control,constrained,tasks,by,workflow,efficient,execution,this,Power,needs,massive,resources,which,available,infrastructure,Nevertheless,efficiency,decreases,due,propriate,sub,addition,consumption,acquisition,To,address,these,challenges,method,named,PWP,devised,Specifically,Non,dominated,Sorting,Differential,Evolution,NSDE,used,generate,strategies,simulation,periments,show,achieves,best,trade,off,among,load,distribution,privacy,preservation,confirming,effective,problem
AB值：
0.550651
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