A Dynamic Service Migration Mechanism in Edge Cognitive Computing

被引:144
|
作者
Chen, Min [1 ,2 ]
Li, Wei [1 ]
Fortino, Giancarlo [3 ]
Hao, Yixue [1 ]
Hu, Long [1 ]
Humar, Iztok [4 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Hubei, Peoples R China
[3] Univ Calabria, I-87036 Arcavacata Di Rende, Italy
[4] Univ Ljubljana, Fac Elect Engn, Ljubljana 1000, Slovenia
基金
中国国家自然科学基金;
关键词
Cognitive computing; cloud computing; edge computing; mobile cloud computing; service migration; CONTENT DELIVERY; INTERNET; INTELLIGENCE; SYSTEMS;
D O I
10.1145/3239565
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Driven by the vision of edge computing and the success of rich cognitive services based on artificial intelligence, a new computing paradigm, edge cognitive computing (ECC), is a promising approach that applies cognitive computing at the edge of the network. ECC has the potential to provide the cognition of users and network environmental information, and further to provide elastic cognitive computing services to achieve a higher energy efficiency and a higher Quality of Experience (QoE) compared to edge computing. This article first introduces our architecture of the ECC and then describes its design issues in detail. Moreover, we propose an ECC-based dynamic service migration mechanism to provide insight into how cognitive computing is combined with edge computing. In order to evaluate the proposed mechanism, a practical platform for dynamic service migration is built up, where the services are migrated based on the behavioral cognition of a mobile user. The experimental results show that the proposed ECC architecture has ultra-low latency and a high user experience, while providing better service to the user, saving computing resources, and achieving a high energy efficiency.
引用
收藏
页数:15
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