Viability of Critical Mission of Grid Computing

  • Fangfang Liu
  • Yan Chi
  • Yuliang Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)


Grid computing is a kind of important paradigm for networked applications and information technology. Many critical infrastructure applications of our daily life are built on gird systems. Then, survivability becomes a necessary property of grid computing. In dynamic and complex network environment, grid systems face different kinds of attacks, failures and accidents that appear frequently. And At the same time new challenges for survivability arise with characteristics of grid system. To resolve them, we focus on continuous providing of critical mission, which determines survivability of the whole grid system. We utilize PVA, methods of conservation biology, for viability analysis of critical mission and some parameters, which are helpful for predicating viability. Hence, we can achieve survivability of grid system using results of viability.


Grid Computing Grid System Virtual Organization Population Viability Analysis Open Grid Service Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: enabling scalable visited organizations. International Journal of Supercomputer Applications (2001)Google Scholar
  2. 2.
    Ellision, R.J., Fisher, D.A., Linger, R.C., Lipson, H.F., Longstaff, T.A., Mead, N.R.: An Approach to Survivable Systems. Technical Report, CERT Coordination Center, Software Engineering Institute, Carnegie Mellon University (1999)Google Scholar
  3. 3.
    Tarvainen, P.: Survey of the Survivability of IT Systems ,
  4. 4.
    Soulé, E.M.: Introduction. In: Soulé, M.E. (ed.) Viable population for conservation, pp. 1–9. Cambridge University Press, Cambridge (1987)CrossRefGoogle Scholar
  5. 5.
    Soulé, M.E., Simberloff, D.: What do genetics and ecology tell us about the design of nature reserve? Biological Conservation 35, 19–40 (1986)CrossRefGoogle Scholar
  6. 6.
    Knight, J.C., Sullivan, K.J.: On the Definition of Survivability. University of Virginia, Department of Computer Science. Technical Report CS-TR-33-00 (2000)Google Scholar
  7. 7.
    Knight, J.C., Sullivan, K.J., Elder, M.C., Wang, C.: Survivability Architectures: Issues and Approaches. In: DARPA Information Survivability Conference and Exposition (January 2000)Google Scholar
  8. 8.
    Keromytis, A.D., PAreckh, J., Gross, P.N., Kaiser, G., Misra, V., Nieh, J., Rubenstein, D., Stolfo, S.: A Holistic Approach to Service Survivability. Technical Report CUSU-021-03, Dep. of Computer Science, Columbia University (2003)Google Scholar
  9. 9.
    Sames, D., Matt, B., Niebuhr, B., Tally, G., Whitmore, B., Bakken, D.: Developing a heterogeneous Intrusion Tolerant CORBA System. In: International Conference on Dependable Systems and Networks, DSN 2002 (2002)Google Scholar
  10. 10.
    Browne, R., Valente, J., Hariri, S.: An Advanced Middleware Architecture for Secure and Survivable Mobile C4I Systems. In: Military Communications Conference Proceedings, MILCOM 1999, vol. 1, pp. 506–513. IEEE, Los Alamitos (1999)CrossRefGoogle Scholar
  11. 11.
    Knight, J.C., Lubinsky, R.W., McHugh, J., Sullivan, K.J.: Architectural Approaches to Information Survivability. Technical Report CS-97-25, Department of Computer Science, University of Virginia, Charlottesville, VA 22903 (1997)Google Scholar
  12. 12.
    Knight, J.C., Strunk, E.A.: Achieving Critical System Survivability through Software Architectures,
  13. 13.
    Lipson, H.F.: Survivability-A New Security Paradigm for Protecting Highly Distributed Mission Critical Systems. In: 38th Meeting of IFIP Working Group Dependable Computing and Fault Tolerance (2000)Google Scholar
  14. 14.
    Mead, N.R., Ellison, R.J., Linger, R.C.: Survivable Network Analysis Method. Technical Report, CMU/SEI-200-TR-013, ESC-2000-TR-013, Software Engineering Institute, Carnegie Mellon University (2000)Google Scholar
  15. 15.
    Peng, L.: Research Directions in Survivable Systems and Networks,
  16. 16.
    Ellison, R.J., Moore, A.P., Bass, L., Klein, M., Bachmann, F.: Security and Survivability Reasoning Frameworks and Architectural Design Tactics. Technical Note CMU/SEI-2004-TN-022Google Scholar
  17. 17.
    Grimshaw, A.S., Humphrey, M.A., Knight, J.C., Nguyen-Tuong, A., Rowanhill, J., Wasson, G., Basney, J.: The development of dependable and survivable grids. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3515, pp. 729–737. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  18. 18.
    Morris, W., Doak, D., Groom, M., Kareiva, P., Fiegerg, J., Gerber, L., Murphy, P., Thomson, D.: A Practical Handbook for Population Viability Analysis. The Nature Conservancy (April 1999)Google Scholar
  19. 19.
    Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. In: Open Grid Service Infrastructure, WG, Global Grid Forum, June 22 (2002)Google Scholar
  20. 20.
    Champion, M., Fessis, C., Newcomer, E.: Web Service Architecture. February 11 (2004),
  21. 21.
    Dennis, B., Munholland, P.L., Scott, J.M.: Estimation of Growth and Extinction Parameters for Endangered Species. Ecological Monographs 61(2), 115–143 (1991)CrossRefGoogle Scholar
  22. 22.
    Ginzburg, L.R., Slobodkin, B., Johnson, K., Bindman, A.G.: Quasiextinction Probabilities as A Measure of Impact on Population Growth. Risk Analysis 2, 171–181 (1982)CrossRefGoogle Scholar
  23. 23.
    Lande, R., Orzack, S.H.: Extinction Dynamics of Age-structured Populations in a Fluctuating Environment. In: Proceeding of the National Academy of Sciences, vol. 85, pp. 7418–7421 (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fangfang Liu
    • 1
  • Yan Chi
    • 2
  • Yuliang Shi
    • 1
  1. 1.Department of Computing and Information TechnologyFUDAN UniversityShanghaiChina
  2. 2.Shifang ResearchShanghaiChina

Personalised recommendations