Workflow Quality of Service Management using Data Mining Techniques

Organizations have been aware of the importance of quality of service (QoS) for competitiveness for some time. It has been widely recognized that workflow systems are a suitable solution for managing the QoS of processes and workflows. The correct management of the QoS of workflows allows for organizations to increase customer satisfaction, reduce internal costs, and increase added value services. In this paper we show a novel method, composed of several phases, describing how organizations can apply data mining algorithms to predict the QoS for their running workflow instances. Our method has been validated using experimentation by applying different data mining algorithms to predict the QoS of workflow