Workflow support for complex grid applications: Integrated and portal solutions

Róbert Lovas, Gábor Dózsa, Péter Kacsuk, Norbert Podhorszki, Dániel Drótos

Research output: Chapter in Book/Report/Conference proceedingChapter

16 Citations (Scopus)

Abstract

In this paper we present a workflow solution to support graphically the design, execution, monitoring, and performance visualisation of complex grid applications. The described workflow concept can provide interoperability among different types of legacy applications on heterogeneous computational platforms, such as Condor or Globus based grids. The major design and implementation issues concerning the integration of Condor tools, Mercury grid monitoring infrastructure, PROVE performance visualisation tool, and the new workflow layer of P-GRADE are discussed in two scenarios. The integrated version of P-GRADE represents the thick client concept, while the portal version needs only a thin client and can be accessed by a standard web browser. To illustrate the application of our approach in the grid, an ultra-short range weather prediction system is presented that can be executed in a grid testbed and visualised not only at workflow level but at the level of individual parallel jobs, too.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarios D. Dikaiakos
PublisherSpringer Verlag
Pages129-138
Number of pages10
ISBN (Print)3540228888
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3165
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lovas, R., Dózsa, G., Kacsuk, P., Podhorszki, N., & Drótos, D. (2004). Workflow support for complex grid applications: Integrated and portal solutions. In M. D. Dikaiakos (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 129-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3165). Springer Verlag. https://doi.org/10.1007/978-3-540-28642-4_16