A QoS-Aware Performance Prediction for Self-Healing Web Service Composition

As composition consists of different Web Services invocations, when one component service fails, composite Web Service will not operate appropriately. The easy solution to this problem is to reselect the service every time service fails. However, it is not feasible due to the high complexity of the reselection, which will interrupt the execution of composite service, lead to an extra delay and influence the performance of the composite service. In this paper we propose an approach on Quality of Service (QoS) aware performance prediction for self-healing Web Service Composition. In our approach, we first propose a self-healing cycle which has three phases such as monitoring, diagnostics and repair. Next, in order to minimize a number of reselections we propose Decision Tree based performance prediction approach. With our approach, the component services which have previously violated QoS parameter values can be predicted. We will demonstrate that proposed solution has better performance in supporting the self-healing Web Service composition comparing to traditional way.