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Journal of Grid Computing

, Volume 1, Issue 1, pp 41–51 | Cite as

Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing

  • Y. Tanaka
  • H. Nakada
  • S. Sekiguchi
  • T. Suzumura
  • S. Matsuoka
Article

Abstract

GridRPC, which is an RPC mechanism tailored for the Grid, is an attractive programming model for Grid computing. This paper reports on the design and implementation of a GridRPC programming system called Ninf-G. Ninf-G is a reference implementation of the GridRPC API which has been proposed for standardization at the Global Grid Forum. In this paper, we describe the design, implementations and typical usage of Ninf-G. A preliminary performance evaluation in both WAN and LAN environments is also reported. Implemented on top of the Globus Toolkit, Ninf-G provides a simple and easy programming interface based on standard Grid protocols and the API for Grid Computing. The overhead of remote procedure calls in Ninf-G is acceptable in both WAN and LAN environments.

Globus toolkit Grid GridRPC Ninf-G 

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References

  1. 1.
    K. Aida, Y. Futakata and S. Kara, “High-Performance Parallel and Distributed Computing for the BMI Eigenvalue Problem,” in Proc. of IPDPS'02, 2002.Google Scholar
  2. 2.
    ApGrid. http://www.apgrid.org/.Google Scholar
  3. 3.
    I. Aumage, L. Boug, A. Denis, J.-F. Mhaut, G. Mercier, R. Namyst and L. Prylli, “Madeleine II: A Portable and Efficient Communication Library for High-Performance Cluster Computing,” in Proceedings of the IEEE Intl. Conference on Cluster Computing (Cluster 2000), 2000, pp. 78–87.Google Scholar
  4. 4.
    B. Bershad, T. Anderson, E. Lazowska and H. Levy, “Lighweight Remote Procedure Call,” ACM Transactions on Computer Systems (TOCS), Vol. 8, No. 1, pp. 37–55, 1990.Google Scholar
  5. 5.
    A. Birrel and G. Nelson, “Implementing Remote Procedure Calls,” ACM Transactions on Computer Systems (TOCS), Vol. 2, No. 1, pp. 39–59, 1984.Google Scholar
  6. 6.
    L. Boug, J.-F. Mhaut and R. Namyst, “Efficient Communications in Multithreaded Runtime Systems,” in Proceedings of the 3 rd Workshop on Runtime Systems for Parallel Programming (RTSPP'99), Lecture notes in computer sci. 1568, Springer Verlag, pp. 468–484, 1999.Google Scholar
  7. 7.
    H. Casanova and J. Dongarra, “NetSolve: A Network Server for Solving Computational Science Problems,” in Proceedings of Super Computing` 96, 1996.Google Scholar
  8. 8.
    C.-C. Chang, G. Czajkowski and T. von Eicken, “MRPC: A High Performance RPC System for MPMD Parallel Computing,” Software – Practice and Experience, Vol. 29, No. 1, pp. 43–66, 1999.Google Scholar
  9. 9.
    CORBA, “CORBA, Object Management Group.” http://www.omg.org/corba/.Google Scholar
  10. 10.
    K. Czajkowski, S. Fitzgerald, I. F. C. K., “Grid Information Services for Distributed Resource Sharing,” in Proc. of HPDC10, 2001.Google Scholar
  11. 11.
    I. Foster and C. Kesselman, “Globus: A Metacomputing Infrastructure Toolkit,” International Journal of Supercomputer Applications, 1997.Google Scholar
  12. 12.
    I. Foster, C. Kesselman, J. Nick and S. Tuecke, “The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration,” 2002. http://www.globus.org/ogsa.Google Scholar
  13. 13.
    GASS, “GASS.” http://www-fp.globus.org/gass/.Google Scholar
  14. 14.
    Globus I/O, “Globus I/O.” http://www-fp.globus.org/vl.l/io/globus_io.html/.Google Scholar
  15. 15.
    M. Govindaraju, A. Slominski, V. Choppella, R. Bramley and D. Gannon, “Requirements for and Evaluation of RMI Protocols for Scientific Computing,” in Proceedings of SC'2000, Dallas, TX, 2000.Google Scholar
  16. 16.
    GRAM, “GRAM.” http://www-unix.globus.org/api/c-globus-2.2/globus_gram_documentation/html/index.html.Google Scholar
  17. 17.
    JavaRMI, “Java Remote Method Invocation.” http://java.sun.com/products/jdk/rmi/.Google Scholar
  18. 18.
    C. Lee, S. Matsuoka, D. Talia, A. Sussman, M. Mueller, G. Allen and J. Saltz, “A Grid Programming Primer,” 2001. http://www.gridforum.org/7_APM/APS.htm, submitted to the Global Grid Forum.Google Scholar
  19. 19.
    J. Liedtke, “Improving IPC by Kernel Design,” in Proceedings of the 14 th ACM Symposium on Operating Systems Principles (SOSP), Asheville, NC, 1993.Google Scholar
  20. 20.
    H. Nakada, M. Sato and S. Sekiguchi, “Design and Implementations of Ninf: Towards a Global Computing Infrastructure,” in Future Generation Computing Systems, Metacomputing Issue, Vol. 15, pp. 649–658, 1999.Google Scholar
  21. 21.
    Ninf, “Ninf.” http://ninf.apgrid.org/.Google Scholar
  22. 22.
    R. Raman, M. Livny and M. Solomon, “Matchmaking: Distributed Resource Management for High Throughput Computing,” in Proc. of HPDC-7, 1998.Google Scholar
  23. 23.
    S. Shirasuna, H. Nakada, S. Matsuoka and S. Sekiguchi, “Evaluating Web Services Based Implementations of GridRPC,” in Proc. of HPDC11, 2002.Google Scholar
  24. 24.
    SOAP, “Simple Object Access Protocol (SOAP) 1.1,” 2000. http://www.w3.org/TR/SOAP/. W3C Note.Google Scholar
  25. 25.
    T. Suzumura, T. Nakagawa, S. Matsuoka, H. Nakada and S. Sekiguchi, “Are Global Computing Systems Useful? Comparison of Ghent-Server Global Computing Systems: Ninf, NetSolve Versus CORBA,” in Proceedings of the 14 th Parallel and Distributed Processing Symposium, IPDPS'00, pp. 547-559, 2000.Google Scholar
  26. 26.
    A. Takeda, M. Kojima and K. Fujisawa, “Enumeration of All Solutions of a Combinatorial Linear Inequality System Arising from the Polyhedral Homotopy Continuation Method,” J. Operations Research Society of Japan, Vol. 45, No. 1, pp. 64–82, 2002.Google Scholar
  27. 27.
    G. von Laszewsi, I. Foster and J. Gawor, “CoG Kits: A Bridge between Commodity Distributed Computing and High-Performance Grids. A Java Commodity Grid Kit,” in ACM 2000 Java Grande Conference, 2000.Google Scholar
  28. 28.
    R. Wolski, “Dynamically Forecasting Network Performance to Support Dynamic Scheduling Using the Network Weather Service,” in 6 th High-Performance Distributed Computing Conference, 1997.Google Scholar
  29. 29.
    XML-RPC, “XML-RPC.” http://www.xml-rpc.com/.Google Scholar

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Y. Tanaka
    • 1
  • H. Nakada
    • 1
  • S. Sekiguchi
    • 1
  • T. Suzumura
    • 2
  • S. Matsuoka
    • 2
  1. 1.National Institute of Advanced Industrial Science and Technology (AIST)IbarakiJapan
  2. 2.Tokyo Institute of Technology (TITECH)Japan

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