An efficient scheduling optimization strategy for improving consistency maintenance in edge cloud environment-Reference-Cited by-同舟云学术

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An efficient scheduling optimization strategy for improving consistency maintenance in edge cloud environment

Published:2020-01-09 Issue:9 Volume:76 Page:6941-6968
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Li Chunlin,Wang Chengyi,Luo Youlong

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-019-03133-9.pdf

Reference33 articles.

1. Pan J, McElhannon J (2018) Future edge cloud and edge computing for internet of things applications. IEEE Internet Things J 5(1):439–449

2. Sharma SK, Wang X (2017) Live data analytics with collaborative edge and cloud processing in wireless IoT networks. IEEE Access 5(99):4621–4635

3. Du B, Huang R, Xie Z et al (2018) KID model-driven things-edge-cloud computing paradigm for traffic data as a service. IEEE Netw 32(1):34–41

4. El-Sayed H, Sankar S, Prasad M et al (2018) Edge of things: the big picture on the integration of edge, IoT and the cloud in a distributed computing environment. IEEE Access 6:1706–1717

5. Tang C, Xiao S, Wei X et al. (2018) Energy efficient and deadline satisfied task scheduling in mobile cloud computing. In: 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), pp 198–205

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