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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Quattor, http://quattor.org
Poznański, 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., Poznański, P.: Pan: A High-Level Configuration Language, USENIX, LISA Conf. Proc., Philadelphia, November 3-8, pp. 83–98. 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., Poznański, P.: High Level Configuration Description Language Specification, http://cern.ch/hep-proj-grid-fabric-config
Poznański, P.: Framework for Managing Grid-enabled Large Scale Computing Fabrics, PhD Thesis, AGH-UST, Cracow (2005)
Cons, L., Poznański, P.: Configuration Database Global Design, http://cern.ch/hep-proj-grid-fabric-config/documents/cdb-design.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Poznański, P., Kitowski, J. (2006). A Framework for Managing Large Scale Computing Fabrics and Its Computational Complexity. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, 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
Download citation
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)