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Agent-Mining of Grid Log-Files: A Case Study

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Agents and Data Mining Interaction (ADMI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7607))

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Abstract

Grid monitoring requires analysis of large amounts of log files across multiple domains. An approach is described for automated extraction of job-flow information from large computer grids, using software agents and genetic computation. A prototype was created as a first step towards communities of agents that will collaborate to learn log-file structures and exchange knowledge across organizational domains.

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Author information

Authors and Affiliations

  1. Logica, Amstelveen, The Netherlands

    Arjan J. R. Stoter, Simon Dalmolen & Wico Mulder

  2. School of Management & Governance, University of Twente, Enschede, The Netherlands

    Simon Dalmolen

Authors
  1. Arjan J. R. Stoter
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  2. Simon Dalmolen
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  3. Wico Mulder
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Editor information

Editors and Affiliations

  1. University of Technology, Chippendale, 2007, Sydney, NSW, Australia

    Longbing Cao

  2. Teesside University, TS1 3BA, Tees Valley, UK

    Yifeng Zeng

  3. Electrical & Computer Engineering Department, Aristotle University of Thessaloniki, 57001, Thessaloniki, Greece

    Andreas L. Symeonidis

  4. St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, 39, 14th Liniya, 199178, St. Petersburg, Russia

    Vladimir I. Gorodetsky

  5. Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St., Rm 1138 SEO, Chicago, 60607, IL, USA

    Philip S. Yu

  6. Department of Computer Science, North Carolina State University, 27695-8206, Raleigh, NC, USA

    Munindar P Singh

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© 2013 Springer-Verlag Berlin Heidelberg

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Stoter, A.J.R., Dalmolen, S., Mulder, W. (2013). Agent-Mining of Grid Log-Files: A Case Study. In: Cao, L., Zeng, Y., Symeonidis, A.L., Gorodetsky, V.I., Yu, P.S., Singh, M.P. (eds) Agents and Data Mining Interaction. ADMI 2012. Lecture Notes in Computer Science(), vol 7607. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36288-0_15

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  • DOI: https://doi.org/10.1007/978-3-642-36288-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36287-3

  • Online ISBN: 978-3-642-36288-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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