Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization
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发表刊物:IEEE Internet of Things Journal
刊物所在地:美国
关键字:Computation offloading, energy optimization, genetic algorithm, machine learning, mobile-edge comput
摘要:Smart mobile devices (SMDs) can meet users' high expectations by executing computational intensive applications but they only have limited resources, including CPU, memory, battery power, and wireless medium. To tackle this limitation, partial computation offloading can be used as a promising method to schedule some tasks of applications from resource-limited SMDs to high-performance edge servers. However, it brings communication overhead issues caused by limited bandwidth and inevitably increases the latency of tasks offloaded to edge servers. Therefore, it is highly challenging to achieve a
论文类型:基础研究
论文编号:DOI: 10.1109/JIOT.2020.3024223
一级学科:计算机科学与技术
文献类型:期刊
卷号:8
期号:5
页面范围:3774-3785
ISSN号:2327-4662
是否译文:否
CN号:null
发表时间:2021-03-01
收录刊物:SCI
发布期刊链接:
https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/9197634