Service Composition Management Using Risk Analysis and Tracking

Abstract

How to effectively and efficiently monitor, manage, and adapt web services is becoming a significant issue to address. In this paper, we argue that only solving emerging service faults at deployment time or runtime is not enough; on the contrary, we believe that prediction of service faults is equivalently important. We propose a risk-driven service composition management process including four main phases: preparation, planning, monitoring and reaction, and analysis. By applying the proposed approach, risky component services can be removed earlier, and the fault source can be tracked and identified more easily when any failure occurs. We believe the proposed risk-driven approach can effectively and efficiently ensure the robustness of an SOA-based system.