摘要
边缘智能技术通过将计算、存储等资源向用户端推进的方式,赋予了网络边缘实体更强大的信息处理与内容投递能力,也为移动业务的开发与实现提供了高效、低时延的服务支撑平台,深刻地改变着移动应用的功能与网络资源的利用模式。首先对网络边缘智能技术在车联网中的应用进行研究,提出了设计高效车联边缘系统所需要解决的核心科学问题。然后,深入分析了以上问题解决过程中所面临的技术挑战,并给出了应对策略。
By pushing computing, storage and other resources to the proximity of end devices, edge intelligence empowers network edge entities powerful information processing and content delivery capabilities, while providing efficient and low-latency service support for the development and implementation of novel mobile services. Thus, edge intelligence is profoundly changing the functions of mobile applications and the utilization patterns of network resources. The application of edge intelligence technology in vehicular networks was studied firstly, and the core scientific problems that need to be solved in designing an efficient vehicular edge system was presented. Then, the technical challenges faced in solving these problems were analyzed and the corresponding solution strategies were given.
作者
张彦
张科
曹佳钰
ZHANG Yan;ZHANG Ke;CAO Jiayu(University of Oslo, Oslo 0316, Norway;School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
出处
《物联网学报》
2018年第4期40-48,共9页
Chinese Journal on Internet of Things
关键词
边缘智能
车联网
资源协同
区块链
edge intelligence
vehicular network
resource synergy
block chain