Caching-based task scheduling for edge computing in intelligent manufacturing-Reference-Cited by-同舟云学术

Caching-based task scheduling for edge computing in intelligent manufacturing

Published:2021-09-16 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Wang Zhongmin,Wang Gang^ORCID,Jin Xiaomin,Wang Xiang,Wang Jianwei

Funder

the Natural Science Basic Research Program of Shaanxi

the Young Teachers Research Foundation of Xi’an University of Posts and Telecommunications, and the Special Funds for Construction of Key Disciplines in Universities in Shaanxi

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-04071-1.pdf

Reference37 articles.

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2. Govindaraj K, John JP, Artemenko A et al (2019) Smart resource planning for live migration in edge computing for industrial scenario. In: 7th IEEE Interna-tional Conference on Mobile Cloud Computing, Services, and Engineering, pp 30–37. https://doi.org/10.1109/MobileCloud.2019.00012

3. Li XM, Wan JF, Dai HN et al (2019) A hybrid computing solution and resource scheduling strategy for edge computing in smart manufacturing. IEEE Trans Industr Inf 15(7):4225–4234. https://doi.org/10.1109/TII.2019.2899679

4. Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Int Serv Appl 1(1):7–18. https://doi.org/10.1007/s13174-010-0007-6

5. Li CL, Wang CY, Luo YL (2020) An efficient scheduling optimization strategy for improving consistency maintenance in edge cloud environment. J Supercomput 76(9):6941–6968. https://doi.org/10.1007/s11227-019-03133-9

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