题  目：Computation Offloading in Fog Computing: A Combinatorial Optimization Approach

内容简介：The investigation in this study makes the following important contributions to combinatorial optimization of computation offloading in fog computing. First, we rigorously define the two problems of optimal computation offloading with energy constraint and optimal computation offloading with time constraint. Second, we develop a unique and effective approach for solving the proposed combinatorial optimization problems, namely, a two-stage method. Third, we use a simple yet efficient greedy method to produce a computation offloading strategy by taking all aspects into consideration. We emphasize that our problems and algorithms can be easily extended to study combined performance and cost optimization (such as cost-performance ratio and weighted cost-performance sum optimization), and to accommodate more realistic and complicated fog computing environments (such as preloaded mobile edge servers and multiple users) with little extra effort. To the best of our knowledge, there has been no similar study in the existing fog computing literature.

报告人：李克勤  教授

报告人简介：现为纽约州立大学终身讲席教授、湖南大学信息科学与工程学院国家特聘教授、欧洲科学院院士、IEEE/AAAS/AAIA/ACIS Fellow。研究方向为并行分布式计算、云计算、异构计算系统、信息物理系统等。他在并行和分布式计算领域2022年度科学影响力排行榜排名全美第一位和全球第二位，在并行和分布式计算领域2022年终身科学影响力排行榜上排名全美第三位和全球第四位(前五名中唯一的华人科学家)。他是国际上仅有的六位单作论文数量超过140篇以及综合影响指数大于4.0的计算机科学家之一。他是IEEE计算机学会 Fellow遴选和评审委员会委员(2015-2024)。

主持人：李哲涛  教授

联系人：曹坤  副教授

时  间：2024年1月16日（周二）下午15：00——16：00

地  点：南海楼338会议室

热烈欢迎广大师生参加!

信息科学技术学院/网络空间安全学院

2024年1月12日