| Intelligent Distributed Computing Department |
| Distributed Systems Technology Group Papers |
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Controlling Quality-of-Service in a Distributed Video Application by an Adaptive Middleware Framework
Citation: Karr DA, Rodrigues C, Loyall JP, Schantz RE. Controlling Quality-of-Service in a Distributed Video Application by an Adaptive Middleware Framework. To appear in Proceedings of ACM Multimedia 2001, September 30 - October 5, 2001, Ottawa, Ontario, Canada.
Formats: Postscript PDF
Abstract We demonstrate a standards-based middleware platform, including the QuO adaptive middleware framework and the TAO CORBA A/V Streaming Service, for developing adaptive multimedia applications that are better architected and easier to modify than ad-hoc architectures and that can adapt to changes in resource availability to meet QoS requirements. These are presented in the context of an Unmanned Aerial Vehicle (UAV) video distribution application. We present experimental results showing how the UAV application uses adaptive behavior to meet timeliness requirements in the face of restrictions in processing power or network bandwidth.
