Resource provisioning in collaborative fog computing for multiple delay‐sensitive users

Author:

Lu Shuaibing1,Wu Jie2,Wang Ning3,Duan Yubin2,Liu Haiming4,Zhang Jiayue1,Fang Juan1

Affiliation:

1. Faculty of Information Technology Beijing University of Technology Beijing China

2. Center for Networked Computing Temple University Philadelphia Pennsylvania USA

3. Department of Computer Science Rowan University Glassboro New Jersey USA

4. School of Software Engineering Beijing Jiaotong University Beijing China

Publisher

Wiley

Subject

Software

Reference36 articles.

1. ShanheY ChengL QunL. A survey of fog computing: concepts applications and issues. Paper presented at: Proceedings of the 2015 Workshop on Mobile Big Data. Association for Computing Machinery. Hangzhou China;2015:37‐42.

2. CiscoThe Internet of Things: extend the cloud to where the things are 2015. http://www. cisco.com/c/dam/en_us/solutions/trends/iot/docs/computingoverview. pdf. Accessed 2015.

3. BonomiF MilitoR ZhuJ AddepalliS. fog computing and its role in the Internet of Things. Paper presented at: Proceedings of the 1st Edition of the MCC Workshop on Mobile Cloud Computing. Association for Computing Machinery. Helsinki Finland;2012:13‐16.

4. XiaoY KrunzM. QoE and power efficiency tradeoff for fog computing networks with fog node cooperation. Paper presented at: Proceedings of the IEEE INFOCOM 2017 ‐ IEEE Conference on Computer Communications. Atlanta GA;2017:1‐9; IEEE.

5. ShuaibingL JieW YubinD NingW ZhiyiF. Cost‐efficient resource provisioning in delay‐sensitive cooperative fog computing. Paper presented at: Proceedings of the 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). Singapore;2018:706‐713.

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