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Hausmans, J.P.H.M. and Geuns, S.J. and Wiggers, M.H. and Bekooij, M.J.G. (2013) Two Parameter Workload Characterization for Improved Dataflow Analysis Accuracy. In: Proceedings of the 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS), 9-11 April 2013, Philadelphia, PA, USA. pp. 117-126. IEEE Computer Society. ISSN 1080-1812 ISBN 978-1-4799-0186-9
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Official URL: http://dx.doi.org/10.1109/RTAS.2013.6531085
Real-time stream processing applications, such as radios, can often be modeled intuitively with dataflow models. Given the Worst-Case Execution Times (WCETs) of the tasks, which characterizes workload with one parameter, dataflow analysis techniques have been used to compute the minimum throughput and maximum latency of these applications. However, a large difference between the WCETs of the tasks and their average execution times can result in a large difference between the computed worst-case throughput and the actual obtained throughput.
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