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Risk Assessment Modeling in Grids at Component Level: Considering Grid Resources as Repairable

  • Conference paper
Book cover Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 151))

Abstract

Service level agreements (SLAs), as formal contractual agreements, increase the confidence level between the End user and the Grid Resource provider, as compared to the best effort approach. On the other end, SLAs fall short of assessing the risk in acceptance of the SLA, risk assessment in Grid computing fills that gap. The current approaches to risk assessment are based on node level risk assessment. This work is differentiated by that it provides risk assessment information at the granularity level of components. A risk assessment model at the component level based on Non-Homogeneous Poisson Process (NHPP) model is proposed. Grid failure data is used for the experimentation at the component level. The Grid risk model selection is validated by using a goodness of fit test along with graphical approaches. The experimental results provide detailed risk assessment information at the component level which can be used by Grid Resource provider to manage and use the Grid resources efficiently.

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References

  1. Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the grid: Enabling scalable virtual organizations. Int. J. High Perform. Comput. Appl. 15(3), 200–222 (2001)

    Article  Google Scholar 

  2. Krivtsov, V.: Practical extensions to NHPP application in repairable system reliability analysis. Reliability Engineering & System Safety 92(5), 560–562 (2007)

    Article  Google Scholar 

  3. (Los Alamos National Laboratories), http://institute.lanl.gov/data/lanldata.shtml

  4. Crow, L.H.: Reliability analysis for complex, repairable systems. Tech. Rep. (December 1975)

    Google Scholar 

  5. Burchard, L.O., et al.: A Quality-of-Service architecture for future grid computing applications. In: Proceedings of the 19th IEEE IPDPS 2005, p. 132a (2005)

    Google Scholar 

  6. Leff, A., Rayfield, J.T., Dias, D.M.: Service-level agreements and commercial grids. IEEE Internet Computing 7(4), 44–50 (2003)

    Article  Google Scholar 

  7. Ludwig, H., et al.: A service level agreement language for dynamic electronic services. In: Advanced Issues of E-Commerce and Web-Based Information Systems, pp. 25–32 (2002)

    Google Scholar 

  8. Padgett, J., Djemame, K., Dew, P.: Grid-Based SLA Management. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds.) EGC 2005. LNCS, vol. 3470, pp. 1076–1085. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. Foster, I.: What is the grid? - a three point checklist. GRIDtoday 1(6) (July 2002)

    Google Scholar 

  10. Schopf, J.M., Nitzberg, B.: Grids: The top ten questions. Sci. Program. 10, 103–111 (2002)

    Google Scholar 

  11. Schwiegelshohn, U., et al.: Perspectives on grid computing. Future Gener. Comput. Syst. 26(8), 1104–1115 (2010)

    Article  Google Scholar 

  12. Talia, D., et al.: Using SLA for resource management and scheduling - a survey grid middleware and services. In: Grid Middleware and Services, ch. 22, pp. 335–347. Springer, Boston (2008)

    Chapter  Google Scholar 

  13. Djemame, K., et al.: Brokering of risk-aware service level agreements in grids. Concurrency Computat.: Pract. Exper. 23(13), 1558–1582 (2011)

    Article  Google Scholar 

  14. Sahai, A., et al.: Specifying and monitoring guarantees in commercial grids through SLA. In: Proceedings of the CCGRID 2003. IEEE Computer Society, Washington, DC (2003)

    Google Scholar 

  15. Rigdon, S.E., Basu, A.P.: Statistical Methods for the Reliability of Repairable Systems. Wiley-Interscience (2000)

    Google Scholar 

  16. Zadeh, L.A.: Fuzzy Set as a Basis for a Theory of Possibility. Fuzzy Sets and Systems 1, 3–28 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  17. Haimes, Yacov, Y.: Risk Modeling, Assessment, and Management, 3rd edn. Wiley series in system engineering (1998)

    Google Scholar 

  18. Djemame, K., et al.: Introducing risk management into the grid. In: Second IEEE International Conference on e-Science and Grid Computing, p. 28. The Netherlands (December 2006)

    Google Scholar 

  19. Hovestadt, M., et al.: The first step of introducing risk management for prepossessing slas. In: IEEE International Conference on Services Computing, SCC 2006, pp. 36–43 (2006)

    Google Scholar 

  20. Hamada, M.S., et al.: Bayesian Reliability. Springer series in statistics. Springer (2008)

    Google Scholar 

  21. Alsoghayer, R., Djemame, K.: Probabilistic risk assessment for resource provision in grids. In: Djemame, K. (ed.) Proceedings of the 25th UK Performance Engineering Workshop, Leeds, UK, pp. 99–110 (July 2009)

    Google Scholar 

  22. Sangrasi, A., Djemame, K.: Component level risk assessment in grids: A probablistic risk model and experimentation. In: Proceedings of the 5th IEEE International Conference on Digital Ecosystems and Technologies Conference (DEST), pp. 68–75 (May 2011)

    Google Scholar 

  23. Carlsson, C., Fullér, R.: Risk Assessment of SLAs in Grid Computing with Predictive Probabilistic and Possibilistic Models. In: Greco, S., Pereira, R.A.M., Squillante, M., Yager, R.R., Kacprzyk, J. (eds.) Preferences and Decisions. SFSC, vol. 257, pp. 11–29. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  24. Gourlay, I., et al.: Reliability and risk in grid resource brokering. In: 2nd IEEE DEST (2008)

    Google Scholar 

  25. Bunday, B.D.: Statistical methods in reliability theory and practice, ser. Maths and its applications. Statistics, Operational Research, and Computational Maths. Ellis Horwood (1991)

    Google Scholar 

  26. Krautsevich, L., et al.: Risk-Aware Usage Decision Making in Highly Dynamic Systems. In: International Conference on Internet Monitoring and Protection, vol. 0, pp. 29–34 (2010)

    Google Scholar 

  27. Iosup, A., et al.: On the dynamic resource availability in Grids. In: Proceedings of the 8th IEEE/ACM International Conference on Grid Computing, USA, September 19-21, pp. 26–33 (2007)

    Google Scholar 

  28. Hovestadt, M., et al.: The first step of introducing risk management for prepossessing slas. In: IEEE International Conference on Services Computing, SCC 2006, pp. 36–43 (2006)

    Google Scholar 

  29. Pinheiro, E., et al.: Failure trends in a large disk drive population. In: Proceedings of the 5th USENIX Conference on File and Storage Technologies (February 2007)

    Google Scholar 

  30. Lingrand, D., et al.: Optimization of Jobs Submission on the EGEE Production Grid: Modeling Faults Using Workload. Journal of Grid Computing 8, 305–321 (2010)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computing, University of Leeds, Leeds, UK

    Asif Sangrasi & Karim Djemame

Authors
  1. Asif Sangrasi
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  2. Karim Djemame
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Corresponding author

Correspondence to Asif Sangrasi .

Editor information

Editors and Affiliations

  1. Dept. Computer Science &, Intelligent Systems, Osaka Prefecture University, Gakuen-chu 1-1, Sakai, Osaka, 599-8531, Japan

    Sigeru Omatu

  2. , Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan F. De Paz Santana

  3. , Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Sara Rodríguez González

  4. Escuela Politécnica Superior (EPS), Depto. Informática, Universidad Carlos III de Madrid, Avenida de la Universidad Carloss III 22, Madrid, 28270, Spain

    Jose M. Molina

  5. , Data Processing and Simulation Group, Universidad Politécnica de Madrid, Calle de Ramiro de Maeztu, 7, Madrid, 28040, Spain

    Ana M. Bernardos

  6. Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

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© 2012 Springer-Verlag Berlin Heidelberg

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Sangrasi, A., Djemame, K. (2012). Risk Assessment Modeling in Grids at Component Level: Considering Grid Resources as Repairable. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_38

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  • DOI: https://doi.org/10.1007/978-3-642-28765-7_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28764-0

  • Online ISBN: 978-3-642-28765-7

  • eBook Packages: EngineeringEngineering (R0)

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