典型文献
Artificial Intelligence for Edge Service Optimization in Internet of Vehicles:A Survey
文献摘要：
The Internet of Vehicles(IoV)plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.Generally,collected information is transmitted to a centralized resource-intensive cloud platform for service implementation.Edge Computing(EC)that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.Additionally,many measures are adopted to optimize the performance of EC-enabled IoV,but they hardly help make dynamic decisions according to real-time requests.Artificial Intelligence(AI)is capable of enhancing the learning capacity of edge devices and thus assists in allocating resources dynamically.Although extensive research has employed Al to optimize EC performance,summaries with relative concepts or prospects are quite few.To address this gap,we conduct an exhaustive survey about utilizing Al in edge service optimization in IoV.Firstly,we establish the general condition and relative concepts about IoV,EC,and Al.Secondly,we review the edge service frameworks for IoV and explore the use of Al in edge server placement and service offloading.Finally,we discuss a number of open issues in optimizing edge services with Al.
文献关键词：
中图分类号：
作者姓名：
Xiaolong Xu;Haoyuan Li;Weijie Xu;Zhongjian Liu;Liang Yao;Fei Dai
作者机构：
School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET),Nanjing University of Information Science and Technology and Engineering,Nanjing 210044,China,and the State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China;School of Big Data and Intelligence Engineering,Southwest Forestry University,Kunming 650233,China
文献出处：
引用格式：
[1]Xiaolong Xu;Haoyuan Li;Weijie Xu;Zhongjian Liu;Liang Yao;Fei Dai-.Artificial Intelligence for Edge Service Optimization in Internet of Vehicles:A Survey)[J].清华大学学报自然科学版（英文版）,2022(02):270-287
A类：
B类：
Artificial,Intelligence,Edge,Service,Optimization,Internet,Vehicles,Survey,IoV,plays,crucial,role,providing,diversified,services,because,powerful,capability,collecting,real,information,Generally,collected,transmitted,centralized,intensive,cloud,platform,implementation,Computing,EC,that,deploys,physical,resources,near,road,side,units,involved,support,vehicular,users,Additionally,many,measures,are,adopted,optimize,performance,enabled,but,they,hardly,help,make,decisions,according,requests,capable,enhancing,learning,capacity,edge,devices,thus,assists,allocating,dynamically,Although,extensive,research,has,employed,summaries,relative,concepts,prospects,quite,few,To,address,this,gap,conduct,exhaustive,survey,about,utilizing,optimization,Firstly,establish,general,condition,Secondly,review,frameworks,explore,server,placement,offloading,Finally,discuss,number,open,issues,optimizing
AB值：
0.62534
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