An Energy-Efficient Load Balancing Approach for Fog Environment Using Scientific Workflow Applications-Reference-Cited by-同舟云学术

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An Energy-Efficient Load Balancing Approach for Fog Environment Using Scientific Workflow Applications

Published:2022 Issue: Volume: Page:165-174
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Kaur Mandeep^ORCID,Aron Rajni^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2281-7_16

Reference18 articles.

1. Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pp 13–16

2. Ding R, Li X, Liu X, Xu J (2018) A cost-effective time-constrained multi-workflow scheduling strategy in fog computing. In: International conference on service-oriented computing. Springer, Cham, pp 194–207

3. Li C, Tang J, Ma T, Yang X, Luo Y (2020) Load balance based workflow job scheduling algorithm in distributed cloud. J Netw Comput Appl 152:102518

4. Rizvi N, Ramesh D (2020) Fair budget constrained workflow scheduling approach for heterogeneous clouds. Clust Comput 23(4):3185–3201

5. Naha RK, Garg S, Battula SK, Amin MB, Georgakopoulos D (2021) Multiple linear regression-based energy-aware resource allocation in the fog computing environment. arXiv preprint arXiv:2103.06385

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