Adaptive terminal reporting for scalable service quality monitoring in large networks

Terminal reporting provides the most accurate way of evaluating how a customer is experiencing a service but building a scalable service quality monitoring solution is not easy because service usage patterns and network conditions are unpredictable. The maximum resource usage of existing terminal reporting solutions is statically constrained, impairing their effectiveness in problem diagnosis when presented with highly variable session rates. This paper revisits the fundamental principles of terminal reporting and presents an adaptive terminal reporting scheme for scalable service quality monitoring in large networks. The main novelty of this approach is that it automatically coordinates terminal reporting activities across all services being monitored and dynamically adapts the reporting characteristics to network and service conditions.