Application monitoring in the grid with GRM and PROVE

Zoltán Balaton, Péter Kacsuk, Norbert Podhorszki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

GRM and PROVE were originally designed and implemented as part of the P-GRADE graphical parallel program development environment running on clusters. In the framework of the biggest European Grid project, the DataGrid project we investigated the possibility of transforming GRM and PROVE to a Grid monitoring infrastructure. This paper presents the results of this work showing how to separate GRM and PROVE from the P-GRADE system and to turn them into standalone Grid monitoring tools.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2001 - International Conference, 2001, Proceedings
EditorsVassil N. Alexandrov, Jack J. Dongarra, Benjoe A. Juliano, René S. Renner, C.J. Kenneth Tan
PublisherSpringer Verlag
Pages253-262
Number of pages10
ISBN (Print)3540422323, 9783540422327
DOIs
Publication statusPublished - Jan 1 2001
EventInternational Conference on Computational Science, ICCS 2001 - San Francisco, United States
Duration: May 28 2001May 30 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2073
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Science, ICCS 2001
CountryUnited States
CitySan Francisco
Period5/28/015/30/01

Keywords

  • Grid monitoring
  • Message passing programs
  • Performance visualisation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Balaton, Z., Kacsuk, P., & Podhorszki, N. (2001). Application monitoring in the grid with GRM and PROVE. In V. N. Alexandrov, J. J. Dongarra, B. A. Juliano, R. S. Renner, & C. J. Kenneth Tan (Eds.), Computational Science - ICCS 2001 - International Conference, 2001, Proceedings (pp. 253-262). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2073). Springer Verlag. https://doi.org/10.1007/3-540-45545-0_34