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
Quattor, http://quattor.org
PoznaĆski, 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)
Cons, L., PoznaĆski, P.: Pan: A High-Level Configuration Language, USENIX, LISA Conf. Proc., Philadelphia, November 3-8, pp. 83â98. USENIX (2002)
WP4 Report on Current Technology (2001)
WP4 Final Evaluation Report (2004)
Cfengine, http://www.cfengine.org
NPACI Rocks, http://www.rockscluster.org
LCFGng, http://www.lcfg.org
European Union DataGrid Project (EDG), http://www.eu-datagrid.org
European Organization for Nuclear Research (CERN), http://www.cern.ch
LHC Computing Grid, http://lcg.web.cern.ch/LCG/
Cons, L., PoznaĆski, P.: High Level Configuration Description Language Specification, http://cern.ch/hep-proj-grid-fabric-config
PoznaĆski, P.: Framework for Managing Grid-enabled Large Scale Computing Fabrics, PhD Thesis, AGH-UST, Cracow (2005)
Cons, L., PoznaĆski, 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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PoznaĆski, P., Kitowski, J. (2006). A Framework for Managing Large Scale Computing Fabrics and Its Computational Complexity. In: Wyrzykowski, R., Dongarra, J., Meyer, N., WaĆniewski, 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
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