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Flexibility for Distributed Workflows

Flexibility for Distributed Workflows

Manfred Reichert, Thomas Bauer, Peter Dadam
Copyright: © 2013 |Pages: 32
ISBN13: 9781466641532|ISBN10: 1466641533|EISBN13: 9781466641549
DOI: 10.4018/978-1-4666-4153-2.ch072
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MLA

Reichert, Manfred, et al. "Flexibility for Distributed Workflows." Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1297-1328. https://doi.org/10.4018/978-1-4666-4153-2.ch072

APA

Reichert, M., Bauer, T., & Dadam, P. (2013). Flexibility for Distributed Workflows. In I. Management Association (Ed.), Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications (pp. 1297-1328). IGI Global. https://doi.org/10.4018/978-1-4666-4153-2.ch072

Chicago

Reichert, Manfred, Thomas Bauer, and Peter Dadam. "Flexibility for Distributed Workflows." In Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1297-1328. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-4153-2.ch072

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Abstract

This chapter shows how flexibility can be realized for distributed workflows. The capability to dynamically adapt workflow instances during runtime (e.g., to add, delete or move activities) constitutes a fundamental challenge for any workflow management system (WfMS). While there has been significant research on ad-hoc workflow changes and on related correctness issues, there exists only little work on how to provide respective runtime flexibility in an enterprise-wide context as well. Here, scalability at the presence of high loads constitutes an essential requirement, often necessitating distributed (i.e., piecewise) control of a workflow instance by different workflow servers, which should be as independent from each other as possible. This chapter presents advanced concepts and techniques for enabling ad-hoc workflow changes in a distributed WfMS as well. Our focus is on minimizing the communication costs among workflow servers, while ensuring a correct execution behavior as well as correctness of ad-hoc workflow changes at any time.

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