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

Arjan J.R. Stoter; Simon Dalmolen; Wico Mulder

doi:10.1007/978-3-642-36288-0_15

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

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

Faculty of Behavioural, Management and Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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

Original language	English
Title of host publication	Agents and Data Mining Interaction
Subtitle of host publication	8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers
Editors	Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	166-177
ISBN (Electronic)	978-3-642-36288-0
ISBN (Print)	978-3-642-36287-3
DOIs	https://doi.org/10.1007/978-3-642-36288-0_15
Publication status	Published - 4 Jun 2013
Event	8th International Workshop on Agents and Data Mining Interaction, ADMI 2012 - Valencia, Spain Duration: 4 Jun 2012 → 5 Jun 2012 Conference number: 8

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	7607
ISSN (Print)	0302-9743

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer

Conference

Conference	8th International Workshop on Agents and Data Mining Interaction, ADMI 2012
Abbreviated title	ADMI
Country/Territory	Spain
City	Valencia
Period	4/06/12 → 5/06/12

Keywords

Grid monitoring
Text mining
Agent oriented programming
Genetic computation
Engineering

Access to Document

10.1007/978-3-642-36288-0_15

Cite this

Stoter, A. J. R., Dalmolen, S., & Mulder, W. (2013). Agent-Mining of Grid Log-Files: A Case Study. In L. Cao, Y. Zeng, & A. L. Symeonidis (Eds.), Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers (pp. 166-177). (Lecture notes in computer science; Vol. 7607), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-36288-0_15

Stoter, Arjan J.R. ; Dalmolen, Simon ; Mulder, Wico. / Agent-Mining of Grid Log-Files : A Case Study. Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. editor / Longbing Cao ; Yifeng Zeng ; Andreas L. Symeonidis. Berlin, Heidelberg : Springer, 2013. pp. 166-177 (Lecture notes in computer science). (Lecture Notes in Artificial Intelligence).

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title = "Agent-Mining of Grid Log-Files: A Case Study",

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",

keywords = "Grid monitoring, Text mining, Agent oriented programming, Genetic computation, Engineering",

author = "Stoter, {Arjan J.R.} and Simon Dalmolen and Wico Mulder",

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Stoter, AJR, Dalmolen, S & Mulder, W 2013, Agent-Mining of Grid Log-Files: A Case Study. in L Cao, Y Zeng & AL Symeonidis (eds), Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. Lecture notes in computer science, vol. 7607, Lecture Notes in Artificial Intelligence, Springer, Berlin, Heidelberg, pp. 166-177, 8th International Workshop on Agents and Data Mining Interaction, ADMI 2012, Valencia, Spain, 4/06/12. https://doi.org/10.1007/978-3-642-36288-0_15

Agent-Mining of Grid Log-Files: A Case Study. / Stoter, Arjan J.R.; Dalmolen, Simon; Mulder, Wico.
Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. ed. / Longbing Cao; Yifeng Zeng; Andreas L. Symeonidis. Berlin, Heidelberg: Springer, 2013. p. 166-177 (Lecture notes in computer science; Vol. 7607), (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Conference code: 8

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Y1 - 2013/6/4

N2 - 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

AB - 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

KW - Grid monitoring

KW - Text mining

KW - Agent oriented programming

KW - Genetic computation

KW - Engineering

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T3 - Lecture notes in computer science

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Stoter AJR, Dalmolen S, Mulder W. Agent-Mining of Grid Log-Files: A Case Study. In Cao L, Zeng Y, Symeonidis AL, editors, Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. Berlin, Heidelberg: Springer. 2013. p. 166-177. (Lecture notes in computer science). (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-642-36288-0_15

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

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