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Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05)
Performance Estimations of Clustered Workflow Architectures
Jeju Island, South Korea
July 14-July 16
ISBN: 0-7695-2296-3
Kwang-Hoon Kim, Kyonggi University
Hyung-Jin Ahn, Kyonggi University
Chang-Min Kim, Sungkyul University

In this paper¹, we are particularly concerned about issues of performance to see how well workflow enactment architecture is dealing with the large amount of workcases. Almost all of the traditional workflow management systems are based upon the client-server workflow enactment architecture that reveals a certain degree of limitation on the issues, such as performance and scalability.

This paper presents a performance analysis model and its mathematical estimations for analyzing the performance aspect of the clustered workflow enactment architecture. We are expecting that the estimations should be helpful in the understanding of the spectrum of possibilities for large-scale workflow architectures and systems. In especially order to comparatively study the clustered workflow enactment architecture, we also analyze the performance of the client-server workflow architectures by using the same approach. Finally, we give a comparison result of performance estimations, and strongly believe that the result is going to be very useful understanding about designing and implementing workflow management systems aiming at the very large-scale workflow applications.

Index Terms:
Workflow Architecture Performance Estimations, Layered Queueing Model, Method of Layers Algorithm, Clustered Workflow Enactment Architecture
Citation:
Kwang-Hoon Kim, Hyung-Jin Ahn, Chang-Min Kim, "Performance Estimations of Clustered Workflow Architectures," icis, pp.288-293, Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05), 2005
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