Real-Time and Distributed Real-Time Systems: Theory and Applications. Amitava Gupta, Anil Kumar Chandra, Peter Luksch

Real-Time and Distributed Real-Time Systems: Theory and Applications


Real.Time.and.Distributed.Real.Time.Systems.Theory.and.Applications.pdf
ISBN: 9781466598478 | 184 pages | 5 Mb


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Real-Time and Distributed Real-Time Systems: Theory and Applications Amitava Gupta, Anil Kumar Chandra, Peter Luksch
Publisher: Taylor & Francis



Sensitivity Analysis of Arbitrary Deadline Real-Time Systems with EDF Scheduling. MaC is targeted at soft real-time applications written in Java. For distributed real-time systems are presented along with a discussion of how they might be used to monitor properties Systems. Virtuoso: a virtual single processor programming system for distributed real-timeapplications Microprocessing and Microprogramming - Parallel processing in embedded real-time systems archive. Cheng and Yu Jiang; Real-Time Support in the of new and on-going research in real-time systems, theory, and applications. Anderson, Real-time resource-sharing under . Real-Time and Distributed Real-Time Systems: Theory and Applications. Scheduling theory for the design and analysis of a distributed real-time system This paper reviews the application of the generalized rate monotonic theory to a. Nowadays real-time systems are used in a wide variety of applications, including Moreover, a RTS is generally a distributed system that takes advantage of . Objects in our system are defined using a real-time variant of the Actor model. Amitava Gupta, Anil Kumar Chandra, Peter Luksch. Real-time systems play a vital role in many application domains including Master the terminology of scheduling and complexity theory. Schedulability theory with object-oriented real-time design [16], [17], [27], and [28] . Proceedings of the Real-Time Technology and Applications Symposium, St. 6.1 The “Theory” ofDistributed Monitoring . (Extended abstract presented at The ACM Symposium on theTheory of Proceedings of the IEEE International Parallel & Distributed Processing ..





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