Middleware for real-time and embedded systems
Communications of the ACM - Adaptive middleware
Generators for Synthesis of QoS Adaptation in Distributed Real-Time Embedded Systems
GPCE '02 Proceedings of the 1st ACM SIGPLAN/SIGSOFT conference on Generative Programming and Component Engineering
Reflective Middleware Solutions for Context-Aware Applications
REFLECTION '01 Proceedings of the Third International Conference on Metalevel Architectures and Separation of Crosscutting Concerns
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
End-to-End Quality of Service Management for Distributed Real-Time Embedded Applications
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 2 - Volume 03
Middleware R&D challenges for distributed real-time and embedded systems
ACM SIGBED Review
Journal of Systems and Software
Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
ISORC '09 Proceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
Petri Nets: Fundamental Models, Verification and Applications
Petri Nets: Fundamental Models, Verification and Applications
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End-to-end quality of service (QoS) is central to the objectives of the today's networks requirements of middleware based distributed real-time and embedded (DRE) systems. Any middleware based QoS system should be totally oriented to this goal, and in the scope of this purpose several mechanisms, components and approaches were, are being and will be developed in order to achieve it. In this paper, we show how controlled behavior of such QoS-aware systems can be developed based on stochastic Petri Nets. Afterwards, We show how to obtain, using such an interpreted formal model, powerful numerical analysis for the management of the network QoS.