Business process adaptation on a tracked simulation model

Authors:
Andrei Solomon;Marin Litoiu;Jay Benayon;Alex Lau
Affiliations:
York University, Toronto, Canada;York University, Toronto, Canada;IBM, Toronto, Canada;IBM, Toronto, Canada
Venue:
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Year:
2010

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Abstract

Business processes need to adapt to changes in the operating conditions and to meet the service-level agreements (SLAs) with a minimum of resources. Changes in operating conditions include hardware and software failures, load variation and variations in user interaction with the system. An integral component to adaptation is the awareness over the behavior of self and environment (or having an estimation of the current situation). Aiming at estimation, this paper investigates the automatic building of a dynamic predictive model of the business process that is used for business process optimization. The model is a simulation model whose parameters are tuned at run time by tracking the system with a particle filter.