Price-Oriented Trading Optimization for Grid Resource
The resources in the Grid are heterogeneous and geographically distributed. Availability, usage and cost policies vary depending on the particular user, time, priorities and goals. Quality of service (QoS) in grid cannot be guaranteed. This article proposes a computational economy as an effective metaphor for the management of resources and application scheduling. It proposes a QoS-based grid banking model. The model is divided into the application- layer, virtual organization (VO) layer, and the physical resources and facilities layer. At each layer, the consumer agent, service agent, and resource provider agent optimize the multi-dimensionality QoS resources respectively. The optimization is under the framework of the grid banking model and the hierarchical constraints in their respective conditions so that it can maximize the function. The optimization algorithm is price-oriented constant iteration at all levels.
KeywordsGrid banking model QoS price optimization hierarchical structure
Unable to display preview. Download preview PDF.
- 1.Foster, I.: The Grid: Blueprint for a New Computing Infrastructure (1999)Google Scholar
- 2.Foster, I., Roy, A., Sander, V.: A Quality of Service Architecture that Combines Resource Reservation and Application Adaptation. In: Proceedings of the Eight International Workshop on Quality of Service, pp. 181–188 (June 2000)Google Scholar
- 3.Buyya, R.: Economic-based distributed resource management and scheduling for Grid computing, Doctor’S Thesis, Monash University (2002)Google Scholar
- 4.Subramoniam, K., Maheswaran, M., Toulouse, M.: Towards a micro-economic model for resource allocation in Grid computing systems. In: Proceedings of the 2002 IEEE Canadian Conference on Electrical & Computer Engineering (2002)Google Scholar
- 6.Wolski, R., Plank, J.S., Brevik, J., Bryan, T.: Analyzing Market-based Resource Allocation Strategies for the Computational Grid. International Journal of High-performance Computing Applications 15 (Fall 2001)Google Scholar
- 7.Li, H., Zhong, Y., Lu, J., Zhang, X., Yao, S.: A Banking Based Grid Recourse Allocation Scheduling. In: GPC Workshops (2008)Google Scholar
- 8.Kenyon, C.: Architecture Requirements for Commercializing Grid Resources. In: Proceeding of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC) (2002)Google Scholar
- 9.Chunlin, L., Layuan, L.: A distributed multiple dimensional QoS constrained. Journal of Computer and System Sciences (72), 706–726 (2006)Google Scholar