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Toward Descriptive Performance Model for OpenMosix Cluster

  • Bestoun S. Ahmed
  • Khairulmizam Samsudin
  • Abdul Rahman Ramli
  • ShahNor Basri
Part of the Communications in Computer and Information Science book series (CCIS, volume 6)

Abstract

Computer cluster adoption has been slow because of the lack of single system image based cluster. OpenMosix is one instance of a successful SSI cluster. To date, there is no standard performance measurement metrics suitable for OpenMosix. A standard descriptive performance model benchmark allows developer and user to measure and compare performance of different SSI cluster design. The aim of this part of research is to study the effect of the number of nodes on some performance metrics by considering a particular network configuration.

Keywords

OpenMosix MOSIX Single System Image (SSI) Performance Modeling 

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References

  1. 1.
    Christine, M., Pascal, G., Renaud, L., Geoffroy, V.: Toward an Efficient Single System Image Cluster Operating System. In: Future Generation Computer Systems, vol. 20(2). Elsevier Science, Amsterdam (2004)Google Scholar
  2. 2.
    Renaud, L., Pascal, G., Geoffroy, V., Christine, M.: Openmosix, OpenSSI and kerrighed: A Comparative Study. In: IEEE Int. Symp. on Cluster Comp. and the Grid (2005)Google Scholar
  3. 3.
    Barak, A., Láadan, O., Shiloh, A.: Scalable Cluster Computing with MOSIX for Linux. In: Proc. of Linux Expo 1999, Raleigh, N.C (1999)Google Scholar
  4. 4.
    Barak, A., Láadan, O.: The MOSIX Multicomputer Operating System for High Performance Cluster Computing. Journal of Future Generation Comp. Sys. 13(4-5) (1998)Google Scholar
  5. 5.
    Moshe, B., Maya, K., Krushna’, B., Asmita, J., Snehal, M.: Introduction to OpenMosix, Linux Congress (2003)Google Scholar
  6. 6.
    OpenMosix website, http://openmosix.org
  7. 7.
    Keren, A., Barak, A.: Opportunity Cost Algorithms for Reducing of I/O and Interprocess Communication Overhead in a Computing Cluster. IEEE Trans. on Prallel and Distributed Systems 14(1) (2003)Google Scholar
  8. 8.
    Malik, K., Khan, O., et al.: Migratable Sockets in Cluster Computing. The Journal of Systems and Software 75, 171–177 (2005)CrossRefGoogle Scholar
  9. 9.
    Rajkumar, B.: High Performance Cluster Computing, Australia, vol. I, pp. 70–71. P.H. PTR (1999)Google Scholar
  10. 10.
  11. 11.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bestoun S. Ahmed
    • 1
  • Khairulmizam Samsudin
    • 1
  • Abdul Rahman Ramli
    • 1
  • ShahNor Basri
    • 2
  1. 1.Department of Computer & Communication Systems EngineeringUniversity Putra MalaysiaSerdangMalaysia
  2. 2.Department of Aerospace EngineeringUniversity Putra MalaysiaSerdangMalaysia

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