Reliable Execution Planning and Exception Handling for Business Process

Business process integration and management have become the key success factors of transforming a company into an adaptive enterprise. Experiences show the fact that most of expenses for automating business processes attribute to the activities of both detecting business exceptions and repairing the emerging problems, due to highly dynamic business environments. In this paper, we describe our ongoing project of active business process. The finest granular management unit in this framework is a BPBot that manifests behaviors of both business services and resources by enabling them with autonomic features. A business process is executed by a collection of BPBots that dynamically form a hierarchical community. We formulate the execution of business process as a discrete-time system and adopt integer programming to generate optimal and reliable execution plan. The QoS exception handling is enabled at runtime by optimization algorithms. The optimization algorithms aim for resolving the exceptions locally and optimally.