A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems

被引:151
|
作者
Cao, Kun [1 ]
Hu, Shiyan [2 ]
Shi, Yang [3 ]
Colombo, Armando [4 ]
Karnouskos, Stamatis [5 ]
Li, Xin [6 ]
机构
[1] Jinan Univ, Coll Informat Sci & Technol, Guangzhou 510632, Peoples R China
[2] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
[3] Univ Victoria, Dept Mech Engn, Victoria, BC V8P 5C2, Canada
[4] Univ Appl Sci Emden Leer, Inst Ind Informat Automat & Robot, D-26723 Emden, Germany
[5] SAP, Res, D-69190 Walldorf, Germany
[6] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
关键词
Edge computing; Optimization; Cloud computing; Servers; Computer architecture; Reliability; Energy consumption; Cyber-physical systems (CPS); edge computing; edge-cloud computing; energy; latency; privacy; reliability; security; ENERGY-EFFICIENCY; INTERNET; OPTIMIZATION; ALLOCATION; LATENCY; TRENDS; MODEL;
D O I
10.1109/TII.2021.3073066
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, the investigations on cyber-physical systems (CPS) have become increasingly popular in both academia and industry. A primary obstruction against the booming deployment of CPS applications lies in how to process and manage large amounts of generated data for decision making. To tackle this predicament, researchers advocate the idea of coupling edge computing, or edge-cloud computing into the design of CPS. However, this coupling process raises a diversity of challenges to the quality-of-services (QoS) of CPS applications. In this article, we present a survey on edge computing or edge-cloud computing assisted CPS designs from the QoS optimization perspective. We first discuss critical challenges in service latency, energy consumption, security, privacy, and reliability during the integration of CPS with edge computing or edge-cloud computing. Afterwards, we give an overview on the state-of-the-art works tackling different challenges for QoS optimization, and present a systematic classification during outlining literature for highlighting their similarities and differences. We finally summarize the experiences learned from surveyed works and envision future research directions on edge computing or edge-cloud computing assisted CPS optimization.
引用
收藏
页码:7806 / 7819
页数:14
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