摘要：Edge computing is an emerging computational model that enables efficient offloading of service requests to edge servers. By leveraging the well-developed technologies of cloud computing, the computing capabilities of mobile devices can be significantly enhanced in edge computing paradigm. However, upon the arrival of user requests, whether to dispatch them to the edge servers or cloud servers in order to guarantee the quality of service (QoS), i.e., the QoS-aware service selection problem, still remains an open problem. Due to the dynamic mobility of users and the variation of task arrivals and service processes, it is extremely costly to obtain the global optimal solution by both mathematical approaches and simulation-based schemes. To attack this challenge, this paper proposes a simulation-based approach of QoS-aware dynamic service selection for mobile edge computing systems. Stochastic system models are presented and mathematical analyses are provided. Based on the analytical results, the QoS-aware service selection problem is formulated by a dynamic optimization problem. Goal softening is applied to the original problem, and service selection algorithms are designed using ordinal optimization techniques. Simulation experiments are conducted to validate the efficacy of the approach presented in this paper.

关键字：WEB SERVICES OPTIMIZATION INTERNET THINGS

ISSN号：1530-8669

发表日期：2018-01-01

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）,ESI（基本科学指标数据库）

发表期刊名称：WIRELESS COMMUNICATIONS & MOBILE COMPUTING

参与作者：蓝怡涵,许民奉

第一作者：黄霁崴

论文类型：期刊论文

论文概要：黄霁崴,蓝怡涵,许民奉，A Simulation-Based Approach of QoS-Aware Service Selection in Mobile Edge Computing，WIRELESS COMMUNICATIONS & MOBILE COMPUTING，2018，

论文题目：A Simulation-Based Approach of QoS-Aware Service Selection in Mobile Edge Computing