Metacluster System for Managing the HPC Integrated Environment

  • Victor Gergel
  • Andrew Senin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6083)


Clusters became the de-facto standard in modern high-performance computing. At present it is rather often when a single organization has a few clusters and wants to connect them into a multicluster to benefit from reduced task waiting time and increased total available processing power. This paper studies one of possible approaches to the problem of uniting the computing resources which addresses exactly the case of owning clusters by a single proprietor. Such approach was implemented in Metacluster system of Nizhni Novgorod State University, Russia. Current state of Metacluster was reviewed. Key features, component-based architecture and main functions implementation details were described.


Metacluster cluster management system tasks scheduling computing resources monitoring Microsoft High Performance Computing Server 2008 


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  1. 1.
    Gergel, V.P.: Theory and practice of parallel computing. Internet university of information technologies, Moscow (2007) (in Russian)Google Scholar
  2. 2.
    Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The physiology of the grid: An open grid services architecture for distributed systems integration (2002)Google Scholar
  3. 3.
    Lee, C.: Parallel Job Scheduling Algorithms and Interfaces. Department of Computer Science and Engineering. University of California, San Diego (2004)Google Scholar
  4. 4.
    Kustikova, V.D., Senin, A.V.: Integration of clusters management system Metacluster with Maui scheduler. In: Proceeding of Technology Microsoft in theory and practice of programming, NNSU, N. Novgorod (2008) (in Russian)Google Scholar
  5. 5.
    Massie, M., Chun, B., Culler, D.: The Ganglia Distributed Monitoring System: Design, Implementation, and Experience. Parallel Computing 30 (2003)Google Scholar
  6. 6.
    Lozgachev, I.N., Senin, A.V.: Monitoring of high performance computing in Metacluster clusters management system. In: Proceeding of Technology Microsoft in theory and practice of programming, NNSU, N. Novgorod (2008) (in Russian)Google Scholar
  7. 7.
    Vasil’ev, V.N., Buhanovski, A.V., Kozlov, S.A., Maslov, V.G., Roganov, N.N.: High performance software complex for modeling of nanoscale atomic-molecular systems. In: Technologies of high performance computing and computer modeling, SPbSU ITMO. SPbSU ITMO, University telecommunications, Saint Petersburg, vol. 54 (2008) (in Russian)Google Scholar
  8. 8.
    TOP500 Highlights (November 2009),
  9. 9.
    World Community Grid official website,
  10. 10.
    Web Services Glossary,
  11. 11.
    Mono project official site,
  12. 12.
  13. 13.
    ANSYS FLUENT Flow Modeling Software,
  14. 14.
    SKIF-grid initiative official web site,

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Victor Gergel
    • 1
  • Andrew Senin
    • 1
  1. 1.N.I. Lobachevsky State University of Nizhni NovgorodRussia

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