Prototype Design of Decision Supports for GRID Clearinghouse Service Framework
Johannes K. Chiang and Kiekang Chao
Dept. of MIS, National Cheng-Chi University, Taipei 116, Taiwan
Grid Computing, as an emerging technology, facilitates computer resource sharing, distribution over the Internet. Large-scale collaboration and engineering development for GRID Computing has been engaged world wide. The vigorous momentum of the technology has captured great business attention. The resources management in such large-scale distributed environment becomes a great challenge, and will be the critical issue before GRID deployed into commercial operation while resource allocation and use need to be properly managed in realistic and economic justification. This study aims to elaborate a new business model regarding service trading and billing. The Grid Architecture for Computational Economy (GRACE) framework can be the fundamental framework which reveals resource trading behavior. This paper explored the resource trading models and the way to integrate them into a uniform computing environment. Thereby the concepts and Architecture is to be investigated and extended with Economic Service Architecture (ESA). Last but not least, this paper carries out necessary Service Interfaces and Service Data Entities.
 IBM Grid Computing, “What is grid computing,” http://www-1.ibm.com/grid/about_grid/what_is.shtml, accessed January 12, 2004.
 R. Buyya, “Economic based Distributed Resource Management Scheduling for Grid Computing,” Monash University, April 12, 2002.
 A. Grimshaw and W. Wulf, “The Legion Vision of Worldwide Virtual Computer,” Communications of the ACM, Vol.40(1), January 1997.
 P. Xavier, “A Clearinghouse for Resource Management in Campus Grid,” NanYang Technological University, March 4, 2003.
 D. Minoli, “A Networking Approach to Grid Computing,” Wiley, 2005.
 A. Vahdat, “Toward Wide-Area Resource Allocation,” In Proc. of the Int. Conf. Parallel and Distributed Processing Techniques and Applications (PDPTA'99), pp. 930-936, June 1999.
 E. Newcomer and G. Lomow, “Understanding SOA with Web Services,” Addison Wesley, 2005.
 G. Banga, P. Drushnel, and J. C. Mogul, “Resource Containers: A New Facility for Resource Management in Server Systems,” In Proc. of the 3rd USENIX Symposium on Operating Systems Design and Implementation (OSDI'99), pp. 45-58, January 1999.
 J. K. Chiang, “Developing a Governmental Long-term Archive Management System on Semantic Grid,” 2005 PNC Annual Conference and Joint Meetings, Hawaii, USA, October 2005.
 J. K. Chiang et al., “Investigation of for the architecture and technological procedures for long-term preservation of digital archives,” Research Report, National Archive and Records Bureau, ROC, Taipei, December 15, 2004.
 K. Wehrle, F. Pahlke, H. Ritter, and D. Muller, “The Linux Networking Architecture,” Pearson Prentice Hall, 2005.
 A. A. Lazar and N. Semret, “Auctions for Network Resource Sharing,” TR 468-97-02, Columbia University, February 1997.
 M. Aron, P. Drushnel, and W. Zwaenepoel, “Cluster Reserves: A Mechanism for Resource Management in Cluster-based Network Servers,” In Proc. of the Int. Conf. on Measurement and Modeling of Computer Systems (SIGMETRICS2000), pp. 90-101, June 2000.
 M. D. Stefano, “Distributed Data Management for Grid Computing,” Wiley, 2005. M. Li and M. Baker, “The Grid core technologies,” Wiley, 2005.
 A. Oram, “Peer-to-Peer: Harnessing the Power of Disruptive Technologies,” O'Reilly Press, USA, 2001.
 R. Moore, “Using Data Grids to Manage Distributed Data,” Lecture slides for PNC 2004 Annual Conference, Taipei, Taiwan, October 17-22, 2004.