Holistic schedulability analysis for distributed hard real-time systems
Microprocessing and Microprogramming - Parallel processing in embedded real-time systems
Performance Guarantees in Communication Networks
Performance Guarantees in Communication Networks
Methods for bounding end-to-end delays on an AFDX network
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Applying and optimizing Trajectory approach for performance evaluation of AFDX avionics network
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
Schedulability analysis of flows scheduled with FIFO: application to the expedited forwarding class
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An efficient and simple class of functions to model arrival curve of packetised flows
Proceedings of the 1st International Workshop on Worst-Case Traversal Time
Synthesis of communication schedules for TTEthernet-based mixed-criticality systems
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Improved formal worst-case timing analysis of weighted round robin scheduling for ethernet
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
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AFDX (Avionics Full Duplex Switched Ethernet) standardized as ARINC 664 is a major upgrade for avionics systems. But network delay analysis is required to evaluate end-to-end delay's upper bounds. The Network Calculus approach, that has been used to evaluate such end-to-end delay upper bounds for certification purposes, is shortly described. The Trajectory approach is an alternative method that can be applied to an AFDX avionics network. We show on an industrial configuration, in which cases the Trajectory approach outperforms the existing end-to-end delays upper bounds and how the combination of the two methods can lead to an improvement of the existing analysis.