Agent-Mining of Grid Log-Files: A Case Study
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.
KeywordsGrid monitoring text mining agent oriented programming genetic computation engineering
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- 1.EGEE: EGEE Homepage, http://public.eu-egee.org/
- 2.Mulder, W., Jacobs, C.: Grid management support by means of collaborative learning agents. In: Proceedings of the 6th International Conference Industry Session on Grids Meets Autonomic Computing, pp. 43–50. ACM (2009)Google Scholar
- 4.Russell, S., Norvig, P.: Artificial Intelligence: A modern approach, 3rd edn. Prentice-Hall, New Jersey (2009)Google Scholar
- 6.Cao, L.: Data Mining and Multi-agent Integration (edited). Springer (2009)Google Scholar
- 8.Feldman, R., Sanger, J.: The text mining handbook: advanced approaches in analyzing unstructured data. Cambridge University Press (2007)Google Scholar
- 10.Conrad, E.: Detecting Spam with Genetic Regular Expressions. SANS Institute Reading Room (2007), http://www.giac.org/certified_professionals/practicals/GCIA/0.793
- 11.Bellifemine, F.L., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE. Wiley (2007)Google Scholar