An extendible approach for analyzing fixed priority hard real-time tasks
Real-Time Systems
A Multiframe Model for Real-Time Tasks
IEEE Transactions on Software Engineering
Response Time Analysis for Distributed Real-Time Systems with Bursty Job Arrivals
ICPP '98 Proceedings of the 1998 International Conference on Parallel Processing
Schedulability Analysis for Tasks with Static and Dynamic Offsets
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
A General Framework for Analysing System Properties in Platform-Based Embedded System Designs
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
A New Task Model for Streaming Applications and Its Schedulability Analysis
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Scheduling Analysis of Real-Time Systems with Precise Modeling of Cache Related Preemption Delay
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Timing Analysis of the FlexRay Communication Protocol
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Integrated analysis of communicating tasks in MPSoCs
CODES+ISSS '06 Proceedings of the 4th international conference on Hardware/software codesign and system synthesis
Improved response time analysis of tasks scheduled under preemptive Round-Robin
CODES+ISSS '07 Proceedings of the 5th IEEE/ACM international conference on Hardware/software codesign and system synthesis
Construction and Deconstruction of Hierarchical Event Streams with Multiple Hierarchical Layers
ECRTS '08 Proceedings of the 2008 Euromicro Conference on Real-Time Systems
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
A recursive approach to end-to-end path latency computation in heterogeneous multiprocessor systems
CODES+ISSS '09 Proceedings of the 7th IEEE/ACM international conference on Hardware/software codesign and system synthesis
A hierarchical model for representation of events in multimedia observation systems
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Real-time performance analysis of multiprocessor systems with shared memory
ACM Transactions on Embedded Computing Systems (TECS)
Real-time communication analysis for networks with two-stage arbitration
EMSOFT '11 Proceedings of the ninth ACM international conference on Embedded software
Combining network calculus and scheduling theory to improve delay bounds
Proceedings of the 20th International Conference on Real-Time and Network Systems
Sensitivity analysis for arbitrary activation patterns in real-time systems
Proceedings of the Conference on Design, Automation and Test in Europe
Stochastic response-time guarantee for non-preemptive, fixed-priority scheduling under errors
Proceedings of the 50th Annual Design Automation Conference
Formal analysis of sporadic overload in real-time systems
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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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This paper proposes a new method for deriving quantitative event information for compositional multiprocessor performance analysis. This procedure brakes down the complexity into the analysis of individual components (tasks mapped to resources) and the propagation of the timing information with the help of event models. This paper improves previous methods to derive event models in a multiprocessor system by providing tighter bounds and allowing arbitrarily shaped event models. The procedure is based on a a simple yet expressive resource model called the multiple event busy time which can be derived on the basis of classical scheduling theory -- it can therefore be provided for a large domain of scheduling policies. Our experiments show that overestimation by previous methods can be reduced significantly.