Abstract

http://ssrn.com/abstract=2038660
 
 

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Volume versus Variance: Implications of Data-Intensive Workflows


Michael Zur Muehlen


Stevens Institute of Technology - Wesley J. Howe School of Technology Management

September 14, 2009

IEEE Data Engineering Bulletin, IEEE. 32 (2009) 3, pp. 42-47

Abstract:     
A data-intensive workflow is a process that is faced with a large volume or highly variable forms of information. The increasing digitization of office processes, the use of workflows to integrate publicly available data sources, and the application of workflow technology to scientific problem solving have led to an increased interest in the design and deployment of data-intensive workflows. This paper discusses the notion of data-intensive workflows and outlines the implications of increasing data volumes and variances for the design of process-aware applications.

Number of Pages in PDF File: 6

Keywords: Workflow, Data Management, Data-intensive Processes, Business Process Management

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Date posted: April 12, 2012  

Suggested Citation

zur Muehlen, Michael, Volume versus Variance: Implications of Data-Intensive Workflows (September 14, 2009). IEEE Data Engineering Bulletin, IEEE. 32 (2009) 3, pp. 42-47. Available at SSRN: http://ssrn.com/abstract=2038660

Contact Information

Michael Zur Muehlen (Contact Author)
Stevens Institute of Technology - Wesley J. Howe School of Technology Management ( email )
Hoboken, NJ 07030
United States
2012168293 (Phone)
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