Analyzing Stochastic Fixed-Priority Real-Time Systems
TACAS '99 Proceedings of the 5th International Conference on Tools and Algorithms for Construction and Analysis of Systems
Interface Theories for Component-Based Design
EMSOFT '01 Proceedings of the First International Workshop on Embedded Software
Probabilistic performance guarantee for real-time tasks with varying computation times
RTAS '95 Proceedings of the Real-Time Technology and Applications Symposium
Statistical Rate Monotonic Scheduling
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
A Model of Hierarchical Real-Time Virtual Resources
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Stochastic Analysis of Periodic Real-Time Systems
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
HLS: A Framework for Composing Soft Real-Time Schedulers
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Periodic Resource Model for Compositional Real-Time Guarantees
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Workload Characterization Model for Tasks with Variable Execution Demand
Proceedings of the conference on Design, automation and test in Europe - Volume 2
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
Schedulability Analysis of Periodic Fixed Priority Systems
IEEE Transactions on Computers
Compositional Real-Time Scheduling Framework
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Real-time interfaces for interface-based design of real-time systems with fixed priority scheduling
Proceedings of the 5th ACM international conference on Embedded software
An Interface Algebra for Real-Time Components
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
A Framework for Compositional and Hierarchical Real-Time Scheduling
RTCSA '06 Proceedings of the 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
A basic stochastic network calculus
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Real-time interfaces for composing real-time systems
EMSOFT '06 Proceedings of the 6th ACM & IEEE International conference on Embedded software
Resource Sharing in Hierarchical Fixed Priority Pre-Emptive Systems
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Compositional real-time scheduling framework with periodic model
ACM Transactions on Embedded Computing Systems (TECS)
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
Stochastic network calculus models under max-plus algebra
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A hierarchical scheduling model for component-based real-time systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Formal verification of real-time wireless sensor networks protocols with realistic radio links
Proceedings of the 21st International conference on Real-Time Networks and Systems
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A challenging research issue in analyzing probabilistic real-time systems is to model the tasks composing the system and the resource provided to the system. In this paper we propose a solution based on a probabilistic component-based model that abstracts the functional and non-functional requirements of real-time components. The obtained interfaces encode timing requirements and probability information of the component in a probabilistic version of the real-time calculus. Besides, it has been derived probabilistic scheduling and compositional guarantees to provide real-time analyses of probabilistic real-time systems. Finally, a test case illustrates the potentialities of the proposed model and its applicability in a large variety of problems within the probabilistic real-time scenario.