Scalability Estimations of a Workcase-based Workflow Engine


Hyung-Jin Ahn, Min-Jae Park, Ki-Won Lee, Kwang-Hoon Kim, Journal of Information Processing Systems Vol. 9, No. 6, pp. 89-98, Dec. 2008  


Keywords: Very Large-Scale Workflow, Workcase, Workflow-based Workflow Architecture, Workflow Scalability Estimations
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Abstract

Recently, many organizations such as companies or institutions have demanded induction of very large-scale workflow management system in order to process a large number of business-instances. Workflow-related vendors have focused on physical extension of workflow engines based on device-level clustering, so as to provide very large-scale workflow services. Performance improvement of workflow engine by simple physical-connection among computer systems which don't consider logical-level software architecture lead to wastes of time and cost for construction of very large-scale workflow service environment. In this paper, we propose methodology for performance improvement based on logical software architectures of workflow engine. We also evaluate scalable performance between workflow engines using the activity instance based architecture and workcase based architecture, our proposed architecture. Through analysis of this test's result, we can observe that software architectures to be applied on a workflow engine have an effect on scalable performance.


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Cite this article
[APA Style]
Ahn, H., Park, M., Lee, K., & Kim, K. (2008). Scalability Estimations of a Workcase-based Workflow Engine. Journal of Internet Computing and Services, 9(6), 89-98.

[IEEE Style]
H. Ahn, M. Park, K. Lee, K. Kim, "Scalability Estimations of a Workcase-based Workflow Engine," Journal of Internet Computing and Services, vol. 9, no. 6, pp. 89-98, 2008.

[ACM Style]
Hyung-Jin Ahn, Min-Jae Park, Ki-Won Lee, and Kwang-Hoon Kim. 2008. Scalability Estimations of a Workcase-based Workflow Engine. Journal of Internet Computing and Services, 9, 6, (2008), 89-98.