Proceedings of the 2018 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2018)

Public Cloud Cost Analysis Based on Game Theory

Authors
Rong Chen
Corresponding Author
Rong Chen
Available Online June 2018.
DOI
https://doi.org/10.2991/saeme-18.2018.33How to use a DOI?
Keywords
Game Theory, Public Cloud, Cost Analysis, Nash Equilibrium.
Abstract

In a hybrid cloud computing environment, how to divide workload reasonably is a problem that every rational user needs to consider. The game model of hybrid cloud computing is constructed. The cost is also taken into consideration when the user usually considers the response time. The function which takes the response time and the cost as the variable is the utility function. By solving the Nash equilibrium method, the user's strategy behavior is analyzed, and the optimal strategy of the user is determined. Through the simulation, the influence of different response time and expense ratio on the user equilibrium strategy is given and compared.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-539-9
ISSN
2352-5398
DOI
https://doi.org/10.2991/saeme-18.2018.33How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rong Chen
PY  - 2018/06
DA  - 2018/06
TI  - Public Cloud Cost Analysis Based on Game Theory
BT  - Proceedings of the 2018 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2018)
PB  - Atlantis Press
SP  - 181
EP  - 186
SN  - 2352-5398
UR  - https://doi.org/10.2991/saeme-18.2018.33
DO  - https://doi.org/10.2991/saeme-18.2018.33
ID  - Chen2018/06
ER  -