摘要：With the evolvement of the Internet of things (IoT), mobile edge computing (MEC) has emerged as a promising computing paradigm to support IoT data analysis and processing. In MEC for IoT, the differentiated requirements on quality of service (QoS) have been growing rapidly, making QoS a multi-dimensional concept including several attributes, such as performance, dependability, energy efficiency, and economic factors. To guarantee the QoS of IoT applications, theories and techniques of multi-dimensional QoS evaluation and optimization have become important theoretical foundations and supporting technologies for the research and application of MEC for IoT, which have attracted significant attention from both academia and industry. This paper aims to survey the existing studies on multi-dimensional QoS evaluation and optimization of MEC for IoT, and provide insights and guidance for future research in this field. This paper summarizes the multi-dimensional and multi-attribute QoS metrics in IoT scenarios, and then several QoS evaluation methods are presented. For QoS optimization, the main research problems in this field are summarized, and optimization models as well as their corresponding solutions are elaborated. We take notice of the booming of edge intelligence in artificial intelligence-empowered IoT scenarios, and illustrate the new research topics and the state-of-the-art approaches related to QoS evaluation and optimization. We discuss the challenges and future research directions.

关键字：Internet of things; Mobile edge computing; Quality of service; Quality of service evaluation; Quality of service optimization

ISSN号：1022-4653

卷、期、页：卷: 33期: 4页: 859-874

发表日期：2024-07-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：四区

收录情况：SCIE（科学引文索引网络版）,EI（工程索引）

发表期刊名称：CHINESE JOURNAL OF ELECTRONICS

通讯作者：刘芳正

第一作者：黄霁崴,张建兵

论文类型：期刊论文

论文概要：黄霁崴,刘芳正,张建兵，Multi-Dimensional QoS Evaluation and Optimization of Mobile Edge Computing for IoT: A Survey，CHINESE JOURNAL OF ELECTRONICS，2024，卷: 33期: 4页: 859-874

论文题目：Multi-Dimensional QoS Evaluation and Optimization of Mobile Edge Computing for IoT: A Survey