Workflow-based approach to efficient programming and reliable execution of grid applications

Yong Won Kwon, So Hyun Ryu, Ju Ho Choi, Chang Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Grid computing provides a virtual organization which allows us to solve very large and complex problem with great-scale computing and data resources. But we need a powerful PSE to present easy programming and efficient execution environment for Grid application. We propose a new Grid workflow management system with abstract workflow description with integrated control and data flow and asynchronous flow control, exception for various fault handling, distributed/parallel workflow patterns, dynamic resource allocation, runtime workflow modification, and interactive graphic user interface. The architecture and implementation of our results about Grid workflow is shown in this paper for construction of efficient and powerful user environment on Grid.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHai Jin, Jianhua Sun, Yi Pan, Nong Xiao
PublisherSpringer Verlag
Pages81-88
Number of pages8
ISBN (Print)3540235647, 9783540235644
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3251
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kwon, Y. W., Ryu, S. H., Choi, J. H., & Jeong, C. S. (2004). Workflow-based approach to efficient programming and reliable execution of grid applications. In H. Jin, J. Sun, Y. Pan, & N. Xiao (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 81-88). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3251). Springer Verlag. https://doi.org/10.1007/978-3-540-30208-7_17