A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems
| Autor: | Stamatis Karnouskos, Armando Walter Colombo, Shiyan Hu, Kun Cao, Yang Shi, Xin Li |
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| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
Process (engineering) Computer science business.industry Quality of service Cyber-physical system Cloud computing Data science Computer Science Applications Control and Systems Engineering Server Enhanced Data Rates for GSM Evolution Electrical and Electronic Engineering business Edge computing Information Systems |
| Zdroj: | IEEE Transactions on Industrial Informatics. 17:7806-7819 |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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