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Edge Computing Based Applications in Vehicular Environments:Comparative Study and Main Issues

《计算机科学技术学报:英文版》2019年 第4期 | Leo Mendiboure Mohamed-Aymen Chalouf Francine Krief   LaBRI Laboratory University of Bordeaux Talence 33400 France IRISA Laboratory University of Rennes 1 Lannion 22300 France LaBRI Laboratory Bordeaux INP Talence 33400 France
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摘 要:Despite the expanded efforts,the vehicular ad-hoc networks(VANETs)are still facing many challenges such as network performances,network scalability and context-awareness.Many solutions have been proposed to overcome these obstacles,and the edge computing,an extension of the cloud computing,is one of them.With edge computing,communication,storage and computational capabilities are brought closer to end users.This could offer many benefits to the global vehicular network including,for example,lower latency,network off-loading and context-awareness(location,environment factors,etc.).Different approaches of edge computing have been developed:mobile edge computing(MEC),fog computing(FC)and cloudlet are the main ones.After introducing the vehicular environment background,this paper aims to study and compare these different technologies.For that purpose their main features are compared and the state-of-the-art applications in VANETs are analyzed.In addition,MEC,FC,and cloudlet are classified and their suitability level is debated for different types of vehicular applications.Finally,some challenges and future research directions in the fields of edge computing and VANETs are discussed.
【分 类】【工业技术】 > 自动化技术、计算机技术
【关键词】 CLOUD COMPUTING EDGE COMPUTING FOG COMPUTING CLOUDLET vehicular network
【出 处】 《计算机科学技术学报:英文版》2019年 第4期 869-886页 共18页
【收 录】 中文科技期刊数据库