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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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
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