A WSDM-Based Architecture for Global Usage Characterization of Grid Computing Infrastructures

  • Glauco Antonio Ludwig
  • Luciano Paschoal Gaspary
  • Gerson Geraldo Homrich Cavalheiro
  • Walfredo Cirne
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4269)


Current solutions to characterize grid computing usage are limited in three important aspects. First, they do not provide a global, uniform view of the use of infrastructures comprised of heterogeneous grid middleware. Second, they do not allow the specification of policies to publicize the collected information. Third, they do not generate statistics about the applications that are executed on the grid. To fill this gap, we propose an architecture based on the Web Services Distributed Management standard and on access control policies to characterize global usage of grid computing infrastructures, even when such grids are formed by heterogeneous middleware packages. We introduce this architecture and present preliminary results obtained with a prototype.


Management Application Access Control Policy Grid Infrastructure Resource Property Grid Usage 


  1. 1.
    Apache Web Services – Muse Project Home Page (2006), http://ws.apache.org/muse/
  2. 2.
    Baker, M., Smith, G.: GridRM: An Extensible Resource Monitoring System. In: IEEE International Conference on Cluster Computing, pp. 207–215 (2003)Google Scholar
  3. 3.
    Condor Project Home Page (2005), http://www.cs.wisc.edu/condor
  4. 4.
    Dinda, P., Gross, T., Karrer, J., et al.: The Architecture of the Remos System. In: IEEE International Symposium on High Performance Distributed Computing, pp. 383–394 (2001)Google Scholar
  5. 5.
    Ferraiolo, D.F., Sandhu, R., Gavrila, S., et al.: Proposed NIST Standard for Role-Based Access Control. ACM Transactions on Information and System Security 4(3), 224–274 (2001)CrossRefGoogle Scholar
  6. 6.
    Foster, I., Czajkowski, K., Ferguson, D.E., et al.: Modeling and Managing State in Distributed Systems: the Role of OGSI and WSRF. Proceedings of the IEEE 93(3), 604–612 (2005)CrossRefGoogle Scholar
  7. 7.
    Globus Toolkit Home Page (2005), http://www.globus.org
  8. 8.
    Graham, S., Hull, D., Murray, B.: Web Services Base Notification 1.3 (WS-BaseNotification). OASIS Public Review Draft (2006), http://www.oasis-open.org/committees/download.php/18546/wsn-ws_base_notification-1.3-spec-pr-03.doc
  9. 9.
    Lee, D., Dongarra, J., Ramakrishna, R., et al.: VisPerf: Monitoring Tool for Grid Computing. In: International Conference on Computational Science, pp. 233–243 (2003)Google Scholar
  10. 10.
    Mach, R., Lepro-Metz, R., Jackson, S.: Usage Record – Format Recommendation. Global Grid Forum Usage Record Working Group (2005), http://www.psc.edu/~lfm/PSC/Grid/UR-WG/UR-Spec.v1.pdf
  11. 11.
    Massie, M.L., Chun, B.N., Culler, D.E.: The Ganglia Distributed Monitoring System: Design, Implementation, and Experience. Parallel Computing 30(7), 817–840 (2004)CrossRefGoogle Scholar
  12. 12.
    Newman, H.B., Legrand, I.C., Galvez, P., et al.: MonALISA: A Distributed Monitoring Service Architecture. Computing in High Energy and Nuclear Physics (2003)Google Scholar
  13. 13.
    OurGrid Project Home Page (2005), http://www.ourgrid.org
  14. 14.
    Tierney, B., Aydt, R., Gunter, D., et al.: A Grid Monitoring Architecture. Global Grid Forum Performance Working Group (2002), http://www-didc.lbl.gov/GGF-PERF/GMA-WG/papers/GWD-GP-16-3.pdf
  15. 15.
    Vambenepe, W.: Web Services Distributed Management: Management Using Web Services (MUWS 1.0) Part 1. OASIS Standard (2005), http://docs.oasis-open.org/wsdm/2004/12/wsdm-muws-part1-1.0.pdf
  16. 16.
    Vinoski, S.: Web Service References. IEEE Internet Computing 9(3), 90–93 (2005)CrossRefGoogle Scholar
  17. 17.
    Wolski, R., Spring, N., Hayes, J.: The Network Weather Service: A Distributed Resource Performance Forecasting Service for Metacomputing. Journal of Future Generation Computing Systems 15(5–6), 757–768 (1999)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2006

Authors and Affiliations

  • Glauco Antonio Ludwig
    • 1
  • Luciano Paschoal Gaspary
    • 2
  • Gerson Geraldo Homrich Cavalheiro
    • 1
  • Walfredo Cirne
    • 3
  1. 1.Universidade do Vale do Rio dos Sinos (UNISINOS)Brazil
  2. 2.Universidade Federal do Rio Grande do Sul (UFRGS)Brazil
  3. 3.Universidade Federal de Campina Grande (UFCG)Brazil

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