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Flexibility for Distributed Workflows

Flexibility for Distributed Workflows

Manfred Reichert, Thomas Bauer, Peter Dadam
Copyright: © 2010 |Pages: 35
ISBN13: 9781605666693|ISBN10: 1605666696|EISBN13: 9781605666709
DOI: 10.4018/978-1-60566-669-3.ch006
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MLA

Reichert, Manfred, et al. "Flexibility for Distributed Workflows." Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments, edited by Minhong Wang and Zhaohao Sun, IGI Global, 2010, pp. 137-171. https://doi.org/10.4018/978-1-60566-669-3.ch006

APA

Reichert, M., Bauer, T., & Dadam, P. (2010). Flexibility for Distributed Workflows. In M. Wang & Z. Sun (Eds.), Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments (pp. 137-171). IGI Global. https://doi.org/10.4018/978-1-60566-669-3.ch006

Chicago

Reichert, Manfred, Thomas Bauer, and Peter Dadam. "Flexibility for Distributed Workflows." In Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments, edited by Minhong Wang and Zhaohao Sun, 137-171. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-669-3.ch006

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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 adhoc 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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