CBR-WIMS, an Architecture for the Intelligent Monitoring and Diagnosis of Workflows

This paper presents an architecture for the intelligent diagnosis and monitoring of business workflows based on operation data in the form of temporal log data. The representation of workflow related knowledge in this research using graphs is explained. The workflow process is orchestrated by a software system using BPEL technologies within a service-oriented architecture. Workflow cases are represented in terms of events and their corresponding temporal relationships. The matching and CBR retrieval mechanisms used in this research are explained and the architecture of an integrated intelligent monitoring system is shown. The paper contains a simple evaluation of the approach based on two experiments with a university quality assurance exam moderation system. Finally, further work on the system and the extension to a full intelligent monitoring and process optimisation system is presented.