A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System

Zhi Cao; Honggang Zhang; Benyuan Liu; Bo Sheng

doi:10.1109/PCCC.2018.8710866

A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System

Zhi Cao
, Honggang Zhang
, Benyuan Liu
, Bo Sheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538668085
DOIs	https://doi.org/10.1109/PCCC.2018.8710866
State	Published - Jul 2 2018
Event	37th IEEE International Performance Computing and Communications Conference, IPCCC 2018 - Orlando, United States Duration: Nov 17 2018 → Nov 19 2018

Publication series

Name	2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018

Conference

Conference	37th IEEE International Performance Computing and Communications Conference, IPCCC 2018
Country/Territory	United States
City	Orlando
Period	11/17/18 → 11/19/18

ASJC Scopus Subject Areas

Hardware and Architecture
Signal Processing
Safety, Risk, Reliability and Quality
Computer Networks and Communications

Access to Document

10.1109/PCCC.2018.8710866

Cite this

Cao, Z., Zhang, H., Liu, B., & Sheng, B. (2018). A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. In 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018 Article 8710866 (2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.2018.8710866

A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. / Cao, Zhi; Zhang, Honggang; Liu, Benyuan et al.
2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8710866 (2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cao, Z, Zhang, H, Liu, B & Sheng, B 2018, A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. in 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018., 8710866, 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018, Institute of Electrical and Electronics Engineers Inc., 37th IEEE International Performance Computing and Communications Conference, IPCCC 2018, Orlando, United States, 11/17/18. https://doi.org/10.1109/PCCC.2018.8710866

Cao Z, Zhang H, Liu B, Sheng B. A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. In 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8710866. (2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018). doi: 10.1109/PCCC.2018.8710866

Cao, Zhi ; Zhang, Honggang ; Liu, Benyuan et al. / A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018).

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title = "A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System",

author = "Zhi Cao and Honggang Zhang and Benyuan Liu and Bo Sheng",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 37th IEEE International Performance Computing and Communications Conference, IPCCC 2018 ; Conference date: 17-11-2018 Through 19-11-2018",

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M3 - Conference contribution

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Y2 - 17 November 2018 through 19 November 2018

ER -

A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System

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