Meta-workflows and ESP: A framework for coordination, exception handling and adaptability in workflow systems

Akhil Kumar, Jacques Wainer, Zuopeng Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

This paper describes a framework for flexible workflows based on events, states, and a new kind of process called a meta-workflow. Metaworkflows have five kinds of meta-activities and facilitate control over other workflows. We describe the framework and illustrate it with examples to show its features. The paper gives an architecture for incorporating it into existing workflows and also provides a formal semantics of execution. This framework can be used in web services, supply chains, and inter-organizational applications where coordination requirements are complex, and flexible and adaptable workflows are needed. It is also useful for handling, not just failure recovery, but also other kinds of exception situations, which arise frequently in webbased applications.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsChristoph Bussler, Dieter Fensel, Maria E. Orlowska, Jian Yang
PublisherSpringer Verlag
Pages13-27
Number of pages15
ISBN (Print)3540223967, 9783540223962
DOIs
StatePublished - Jan 1 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3095
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Kumar, A., Wainer, J., & Zhang, Z. (2004). Meta-workflows and ESP: A framework for coordination, exception handling and adaptability in workflow systems. In C. Bussler, D. Fensel, M. E. Orlowska, & J. Yang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 13-27). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3095). Springer Verlag. https://doi.org/10.1007/978-3-540-25982-4_3