Slow-movement particle swarm optimization algorithms for scheduling security-critical tasks in resource-limited mobile edge computing-Reference-Cited by-同舟云学术

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Slow-movement particle swarm optimization algorithms for scheduling security-critical tasks in resource-limited mobile edge computing

Published:2020-11 Issue: Volume:112 Page:148-161
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Zhang Yi,Liu Yu,Zhou Junlong,Sun Jin,Li Keqin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Fundamental Research Funds for the Central Universities

Jiangsu Planned Projects for Postdoctoral Research Funds

Hubei Key Laboratory of Intelligent Geo-Information

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference53 articles.

1. On multi-access edge computing: A survey of the emerging 5G network edge cloud architecture and orchestration;Taleb;IEEE Commun. Surv. Tutor.,2017

2. A survey of virtual machine management in edge computing;Tao;Proc. IEEE,2019

3. Y. Mao, J. Zhang, K.B. Letaief, Joint task offloading scheduling and transmit power allocation for mobile-edge computing systems, in: IEEE Wireless Communications and Networking Conference, 2017.

4. Partial offloading scheduling and power allocation for mobile edge computing systems;Kuang;IEEE Internet Things J.,2019

5. Offloading in mobile cloudlet systems with intermittent connectivity;Zhang;IEEE Trans. Mob. Comput.,2015

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