Application of the QuO quality-of-service framework to a distributed video application

Adaptation of distributed software to maintain the best possible application performance in the face of changes in available resources is an increasingly important and complex problem. We discuss the application of the QuO adaptive middleware framework and the CORBA A/V streaming service to the development of real-time embedded applications. We demonstrate a standards-based middleware platform for developing adaptive applications that are better architectured and easier to modify and that can adapt to changes in resource availability to meet QoS requirements. These are presented in the context of a video distribution application to an unmanned aerial vehicle. The application is developed using QuO and the AN streaming service, and uses adaptive behavior to meet timeliness requirements in the face of restrictions in processing power and network bandwidth. We present experimental results we have gathered for this application.