A quality-of-service specification for multimedia presentations
Multimedia Systems - Special issue on multimedia database systems
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
Beyond the Black Box: Open Implementation
IEEE Software
Specifying and Measuring Quality of Service in Distributed Object Systems
ISORC '98 Proceedings of the The 1st IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
BeeHive: Global Multimedia Database Support for Dependable, Real-Time Applications
BeeHive: Global Multimedia Database Support for Dependable, Real-Time Applications
Quality of services specification in distributed object systems design
COOTS'98 Proceedings of the 4th conference on USENIX Conference on Object-Oriented Technologies and Systems - Volume 4
QuO's runtime support for quality of service in distributed objects
Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
Runtime Performance Modeling and Measurement of Adaptive Distributed Object Applications
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Middleware Support for Voting and Data Fusion
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
A Scalable QoS-Aware Service Aggregation Model for Peer-to-Peer Computing Grids
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Timeliness in Auto-Adaptive Distributed Systems
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Proceedings of the 28th international conference on Software engineering
On Composing Stream Applications in Peer-to-Peer Environments
IEEE Transactions on Parallel and Distributed Systems
QuO's runtime support for quality of service in distributed objects
Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
DSL weaving for distributed information flow systems
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Utilising alternative application configurations in context- and qos-aware mobile middleware
DAIS'06 Proceedings of the 6th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Simplifying autonomic enterprise java bean applications via model-driven development: a case study
MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems
Aspect-Oriented development of crosscutting features in distributed, heterogeneous systems
Transactions on Aspect-Oriented Software Development II
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Distributed object middleware, such as CORBA, hides system-and network-specific characteristics of objects behind functional interface specifications. This simplifies development and maintenance of distributed objects, contributing to their growing acceptance. Critical applications have Quality of Service (QoS) requirements, however, such as real-time performance, dependability, or security, that are hidden by middleware. Because of this, application developers often bypass distributed object systems, thus gaining little or no advantage from the middleware. We have developed Quality Objects (QuO), a framework for developing distributed applications with QoS requirements. QuO provides a set of aspect languages, called Quality Description Languages (QDL), for specifying possible QoS states, the system resources and mechanisms for measuring and controlling QoS, and behavior for adapting to changing levels of available QoS at runtime. This paper describes QuO's aspect languages, their usage, and how they interact with the QuO runtime system to form the QuO framework.