doi: 10.4304/jsw.9.6.1574-1580
A Novel Resource Pricing Mechanism based on Multi-Player Gaming Model in Cloud Environments
- School of Computer and Communication, Hunan Institute of Engineering, Xiangtan, 411104, China1
Abstract
Recently, cloud computing has become a promising network platform for non-trivial applications. The key feature of cloud computing is on-demand resource provision by utility paradigm. Therefore, resource pricing mechanism plays an important role for realizing on-demand resource provision. Unfortunately, existing resource pricing mechanism will result in many negative effects on system performance, such as low-efficient negotiation, extra communication costs and etc. In this paper, we present a novel resource pricing mechanism, which is based on multiplayer gaming model and capable of realizing batch resource allocation in an efficient manner. In this mechanism, we introduce a set of virtual resource brokers which is responsible for figuring most rationale resource prices in elastic cloud environment. To investigate the effectiveness and performance of our pricing mechanism, extensive experiments are conducted, and we compare its performance with various approaches, include marketbased approaches and auction mechanisms. The results show that our pricing mechanism is more effective to realizing batch resource allocation, especially when the system workload is intensive. In addition, our mechanism can significantly reduce the negotiation costs comparing with exiting approaches.
Keywords
- cloud computing
- pricing mechanism
- virt
How to Cite
Tienan Zhang and Peng Xiao, "A Novel Resource Pricing Mechanism based on Multi-Player Gaming Model in Cloud Environments," Journal of Software, vol. 9, no. 6, pp. 1574-1580, 2014. https://doi.org/ 10.4304/jsw.9.6.1574-1580
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
