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A Framework for Managing Large Scale Computing Fabrics and Its Computational Complexity

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Parallel Processing and Applied Mathematics (PPAM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3911))

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Abstract

In this paper, we discuss the computational complexity of the problem of configuring a computing site. The theoretical considerations are based on the Quattor framework configuration model. We also present some experimental results.

Quattor is a framework for managing large scale computing fabrics. It is a result of developments of the Fabric Management Work Package of the European DataGrid project.

Our experience on using the Quattor framework in the DataGrid testbed and the CERN Computing Centre shows that the ability of proper configuration and management of a computing fabric is essential for having a working grid.

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References

  1. Quattor, http://quattor.org

  2. PoznaƄski, P., et al.: Quattor - a Framework for Managing Grid-enabled Large Scale Computing Fabrics. In: Proc. of the Cracow Grid Workshop, Poland, December 12-15, ACK Cyfronet-AGH, Cracow (in press, 2004)

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  3. Cons, L., PoznaƄski, P.: Pan: A High-Level Configuration Language, USENIX, LISA Conf. Proc., Philadelphia, November 3-8, pp. 83–98. USENIX (2002)

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  6. Cfengine, http://www.cfengine.org

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  10. European Union DataGrid Project (EDG), http://www.eu-datagrid.org

  11. European Organization for Nuclear Research (CERN), http://www.cern.ch

  12. LHC Computing Grid, http://lcg.web.cern.ch/LCG/

  13. Cons, L., PoznaƄski, P.: High Level Configuration Description Language Specification, http://cern.ch/hep-proj-grid-fabric-config

  14. PoznaƄski, P.: Framework for Managing Grid-enabled Large Scale Computing Fabrics, PhD Thesis, AGH-UST, Cracow (2005)

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  15. Cons, L., PoznaƄski, P.: Configuration Database Global Design, http://cern.ch/hep-proj-grid-fabric-config/documents/cdb-design.pdf

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© 2006 Springer-Verlag Berlin Heidelberg

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PoznaƄski, P., Kitowski, J. (2006). A Framework for Managing Large Scale Computing Fabrics and Its Computational Complexity. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waƛniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_35

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  • DOI: https://doi.org/10.1007/11752578_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34141-3

  • Online ISBN: 978-3-540-34142-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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