Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing

• Main Authors: Chen, X. (Author), Chen, Z. (Author), Deng, X. (Author), Deng, Y. (Author), Fang, Y. (Author), Zhu, G. (Author)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: Cloud computing; Cloud-computing; Cyber Physical System; Edge computing; Edge intelligence; Embedded systems; Emerging applications; End-users; Hot research topics; Job analysis; Measurement; Multiaccess; Quality of service; Real time systems; Real-time processing and control; Resource management; Sensors; Task analysis; Throughput; Wireless sensor networks
• Online Access: View Fulltext in Publisher

 Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for sensing, communications, computing, storage and intelligence (SCCSI) to the premises closer to the end users, i.e., the edge, so that they could leverage the nearby rich resources to improve their quality of experience (QoE). Due to the growing emerging applications targeting at intelligentizing life-sustaining cyber-physical systems, this paradigm has become a hot research topic, particularly when MEC is utilized to provide edge intelligence and real-time processing and control. This article is to elaborate the research issues along this line, including basic concepts and performance metrics, killer applications, architectural design, modeling approaches and solutions, and future research directions. It is hoped that this article provides a quick introduction to this fruitful research area particularly for beginning researchers. IEEE