A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services
Joint Authors
Yan, Wang
Jinghao, Sun
Wang, Jinkuan
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We propose an economics-oriented cloud computing resources allocation strategy with the use of game theory.
Then we develop a resource allocation algorithm named NCGRAA (noncooperative game resource allocation algorithm) to search the Nash equilibrium solution that makes the utility of various resource providers achieve optimum.
We also propose an algorithm named BGRAA (bargaining game resource allocation algorithm) to further increase the overall revenue with the constraints of efficiency and fairness.
Based on numerical results, we discuss the influence of NCGRAA and BGRAA for the utility of resource on the system performance.
It shows that the choice of parameters of the two algorithms is significant in improving the system performance and converging to the Nash equilibrium and Nash bargaining.
American Psychological Association (APA)
Yan, Wang& Wang, Jinkuan& Jinghao, Sun. 2016. A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services. Scientific Programming،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118137
Modern Language Association (MLA)
Yan, Wang…[et al.]. A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services. Scientific Programming No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1118137
American Medical Association (AMA)
Yan, Wang& Wang, Jinkuan& Jinghao, Sun. A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118137