An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment-Reference-Cited by-同舟云学术

An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018
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Author:

Binh Huynh Thi Thanh¹,Anh Tran The²,Son Do Bao³,Duc Pham Anh²,Nguyen Binh Minh¹

Affiliation:

1. Hanoi University of Science and Technology, Hanoi, Vietnam

2. Hanoi University of Science and Techonology, Hanoi, Vietnam

3. University of Transport Technology, Hanoi, Vietnam

Funder

Vietnam National Foundation for Science and Technology Development (NAFOSTED)

Publisher

ACM Press

Reference14 articles.

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2. Fog Computing. 2015. the Internet of Things: Extend the Cloud to Where the Things are. Cisco White Paper (2015).

3. Ruilong Deng, Rongxing Lu, Chengzhe Lai, Tom H Luan, and Hao Liang. 2016. Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption. IEEE Internet of Things Journal 3, 6 (2016), 1171--1181.

4. Lin Gu, Deze Zeng, Song Guo, Ahmed Barnawi, and Yong Xiang. 2017. Cost efficient resource management in fog computing supported medical cyber-physical system. IEEE Transactions on Emerging Topics in Computing 5, 1 (2017), 108--119.

5. Xueying Guo, Rahul Singh, Tianchu Zhao, and Zhisheng Niu. 2016. An index based task assignment policy for achieving optimal power-delay tradeoff in edge cloud systems. In Communications (ICC), 2016 IEEE International Conference on. IEEE, 1--7.

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