AssessGrid Strategies for Provider Ranking Mechanisms in Risk–Aware Grid Systems
Grid systems are on the verge of attracting the commercial user who requires contractually fixed levels of service quality. Service Level Agreements (SLAs) are powerful instruments for describing all obligations and expectations within such a Grid-based business relationship. Service selection has so far been based on performance and compatibility criteria while neglecting the factor of reliability and risk.
The EC-funded project “AssessGrid” aims at introducing risk assessment and management as a novel decision paradigm into Grid computing. With AssessGrid, providers are able to express the risk associated with an SLA, and broker services are able to judge the trustworthiness of such provider risk statements. This paper focuses on the provider ranking process where a broker or end-user has to decide which provider to choose from, and consequently which SLA to commit to.
KeywordsGrid SLA Negotiation Broker Ranking
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- 1.AssessGrid – Advanced Risk Assessment and Management for Trustable Grids, http://www.assessgrid.eu
- 2.Czajkowski, K., Kesselman, C., Fitzgerald, S., Foster, I.: Grid information services for distributed resource sharing. High Performance Distributed Computing, 181–194 (2001)Google Scholar
- 3.Keung, H.N.L.C., Dyson, J.R.D., Jarvis, S.A., Nudd, G.R.: Predicting the Performance of Globus Monitoring and Discovery Service (MDS-2) Queries. In: GRID 2003: Proceedings of the Fourth International Workshop on Grid Computing, Washington, DC, USA, p. 176. IEEE Computer Society, Los Alamitos (2003)Google Scholar
- 4.Tsouloupas, G., Dikaiakos, M.: Ranking and performance exploration of grid infrastructures: An interactive approach. In: Grid Computing, 7th IEEE/ACM International Conference on, September 2006, pp. 313–314 (2006)Google Scholar
- 5.Grid Economics and Business Models (GridEcon), http://www.gridecon.eu
- 6.Iosup, A., Epema, D.: GRENCHMARK: A Framework for Analyzing, Testing, and Comparing Grids. In: CCGRID 2006 Sixth IEEE International Symposium on Cluster Computing and the Grid, pp. 313–320 (2006)Google Scholar
- 7.Khalili, O., He, J., Olschanowsky, C., Snavely, A., Casanova, H.: Measuring the Performance and Reliability of Production Computational Grids. In: GRID – 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), Barcelona, Spain, September 2006, pp. 293–300. IEEE, Los Alamitos (2006)CrossRefGoogle Scholar
- 9.Gourlay, I., Djemame, K., Padgett, J.: Risk and Reliability in Grid Resource Brokering. In: Proceedings of IEEE International Conference on Digital Ecosystems and Technologies 2008 (DEST 2008), Phitsanulok, Thailand (Febuary 2008)Google Scholar
- 11.Sonnek, J.D., Weissman, J.B.: A Quantitative Comparison of Reputation Systems in the Grid. In: GRID 2005: Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing, Washington, DC, USA, pp. 242–249. IEEE Computer Society, Los Alamitos (2005)Google Scholar
- 12.Andrieux, A., Czajkowski, K., Dan, A., Keahey, K., Ludwig, H., Nakata, T., Pruyne, J., Rofrano, J., Tuecke, S., Xu, M.: Web Services Agreement Specification (WS-Agreement). GRAAP WG - Open Grid Forum (OGF) (March 2007) , http://www.ogf.org/documents/GFD.107.pdf