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• W2116410913 abstract "This paper advocates a rigorously formal and compositional style for obtaining key performance and/or interface metrics of systems with real-time constraints. We propose a hierarchical approach that couples the independent and different by nature frameworks of Modular Performance Analysis with Real-time Calculus (MPARTC) and Parametric Feasibility Analysis (PFA). Recent work on Real-time Calculus (RTC) has established an embedding of state-based component models into RTC-driven performance analysis for dealing with more expressive component models. However, with the obtained analysis infrastructure it is possible to analyze components only for a fixed set of parameters, e. g., fixed CPU speeds, fixed buffer sizes etc., such that a big space of parameters remains unstudied. In this paper, we overcome this limitation by integrating the method of parametric feasibility analysis in an RTC-based modeling environment. Using the PFA tool-flow, we are able to find regions for component parameters that maintain feasibility and worst-case properties. As a result, the proposed analysis infrastructure produces a broader range of valid design candidates, and allows the designer to reason about the system robustness." @default.
• W2116410913 created "2016-06-24" @default.
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• W2116410913 date "2011-01-01" @default.
• W2116410913 modified "2023-10-03" @default.
• W2116410913 title "Enabling parametric feasibility analysis in real-time calculus driven performance evaluation" @default.
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• W2116410913 doi "https://doi.org/10.1145/2038698.2038723" @default.
• W2116410913 hasPublicationYear "2011" @default.
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