Measuring Quantitative Dependability Attributes in Digital Publishing Using Petri Net Workflow Modeling

  • Authors:

  • Gustavo A. Chaparro-Baquero;Nayda G. Santiago;Wilson Rivera;Fernando Vega-Riveros

  • Affiliations:

  • University of Puerto Rico, Mayaguez Campus, PR, USA;University of Puerto Rico, Mayaguez Campus, PR, USA;University of Puerto Rico, Mayaguez Campus, PR, USA;University of Puerto Rico, Mayaguez Campus, PR, USA

  • Venue:
  • DASC '06 Proceedings of the 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing
  • Year:
  • 2006

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Abstract

This work describes workflow modeling using Workflownets and Generalized Stochastic Petri Nets (GSPN) for the Digital Publishing business process and how the dependability attributes are measured in a quantitative form. In our novel approach, these are measured from the workflow model itself, improving its analysis. Applying these measure concepts to the Digital Publishing pre-press process provides a workflow management based on its trustworthiness. The methodology for workflow modeling is introduced and the results for a case study on the preflight stage of the Digital Publishing workflow are presented.