Dynamic Self-Healing for Service Flows with Semantic Web Services

Abstract

With an increasing complexity of business processes, self-healing capability is becoming an important issue in order to support robust service flow execution. In this paper, a dynamic self-healing mechanism is proposed, which can dynamically identify suitable alternatives and replace faulty services such that a service flow can be performed successfully despite of unexpected exceptions. This mechanism explicitly utilizes Semantic Web services for service matching and selection of a composite service in business service flow, and Semantic web services are equipped with rich business rules in a domain-dependent manner. We explore the self-healing mechanism for supporting self-healable service flow execution which is modeled in BPEL4WS. A demo system of self-healing capable Service Flow Execution is built to validate its effectiveness by a concrete scenario, PC manufacturing application.