4.7 Article

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

期刊

IEEE WIRELESS COMMUNICATIONS
卷 29, 期 2, 页码 192-198

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.006.2100699

关键词

Task analysis; Cloud computing; Sensors; Resource management; Measurement; Wireless sensor networks; Throughput

资金

  1. U.S. National Science Foundation [IIS-1722791, CNS-2106589]
  2. National Natural Science Foundation of China [62172441, 61772553]

向作者/读者索取更多资源

This article introduces the basic concepts, performance metrics, killer applications, architectural design, modeling approaches and future research directions of multi-access edge computing (MEC). It is a useful quick introduction for beginning researchers.
Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for sensing, communications, computing, storage, and intelligence to the premises closer to the end users (i.e., the edge) so that they can leverage the nearby rich resources to improve their quality of experience. Due to the growing emerging applications targeted 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 elaborates 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据