TY - JOUR U1 - Wissenschaftlicher Artikel A1 - Colombo, Armando W. A1 - Cao, Kun A1 - Hu, Shiyan A1 - Shi, Yang A1 - Karnouskos, Stamatis A1 - Li, Xin T1 - A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems JF - IEEE Transactions on Industrial Informatics N2 - 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. KW - Edge computing KW - Optimization KW - Cloud computing KW - Servers KW - Computer architecture KW - Reliability KW - Energy consumption KW - Cyber-physical systems (CPS) KW - Security KW - Latency Y1 - 2021 U6 - https://doi.org/10.1109/TII.2021.3073066 DO - https://doi.org/10.1109/TII.2021.3073066 VL - 17 IS - 11 SP - 7806 EP - 7819 ER -