2010 IEEE 10th International Conference on Computer and Information Technology (CIT) (2010)
June 29, 2010 to July 1, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2010.70
Fei Teng , Appl. Math. & Syst. Lab., Ecole Centrale Paris, Paris, France
Frederic Magoules , Appl. Math. & Syst. Lab., Ecole Centrale Paris, Paris, France
Cloud computing is a new emerging computing paradigm that advocates supplying users everything as a service. Compared with grid computing, the focus of resource management problem is transformed to resource virtualization and allocation rather than job decomposition and scheduling. It is more urgent to find better solutions for cloud resource allocation than ever before. Although there have been some research efforts in grid computing, most of them aim at maximizing utility of system and lack of analysis for competition between different users. Some researches consider competition analysis, but they assume that common knowledge is certain and known for every user, which is difficult to be applied in a global distributed cloud environment. In this paper, we hereby propose a new resource pricing and allocation policy where users can predict the future resource price as well as satisfy budget and deadline constraints. Experimental results prove that resource price can gradually converge to an equilibrium state by dynamic games and that cloud users can receive Nash equilibrium allocation proportion without other competitors' bidding information.
Resource management, Clouds, Cloud computing, Games, Mathematical model, Equations, Pricing
Fei Teng and F. Magoules, "Resource Pricing and Equilibrium Allocation Policy in Cloud Computing," 2010 IEEE 10th International Conference on Computer and Information Technology (CIT), Bradford, 2010, pp. 195-202.