Optimal Design of Fog-Cloud Computing System by Mixed-Integer Linear Programming-Reference-Cited by-同舟云学术

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Optimal Design of Fog-Cloud Computing System by Mixed-Integer Linear Programming

Published:2019-05-01 Issue:5 Volume:139 Page:648-657
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Mori Tomoya¹,Utsunomiya Yoichi²,Tian Xuejun³,Okuda Takashi³

Affiliation:

1. EC Marketplace, Rakuten inc.

2. Graduate School of Information Science and Technology, Aichi Prefectural University

3. Department of Information Science and Technology, Faculty of Information Science and Technology, Aichi Prefectural University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/139/5/139_648/_pdf

Reference12 articles.

1. (2) I. Stojmenovic and S. Wen: “The Fog Computing Paradigm: Scenarios and Security Issues", Proceedings of the 2014 FedCSIS, pp. 1-8 (2014)

2. (3) R. Deng, R. Lu, C. Lai, T. H. Luan, and H. Liang: “Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption”, IEEE Internet of Things Journal, Vol. 3, No. 6, pp. 1171-1181 (2016)

3. (4) Amazon Web Service: https://aws.amazon.com/

4. (5) Cisco Systems: “Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Are", https://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf (2015)

5. (6) L. Yu, T. Jiang, and Y. Zou: “Fog-Assisted Operational Cost Reduction for Cloud Data Centers”, IEEE Access, Vol. 5, pp. 13578-13586 (2017)

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