Enabling parametric feasibility analysis in real-time calculus driven performance evaluation

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 (MPA-RTC) 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.


Published in:
Proceedings of the 14th International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES '11), 155-164
Presented at:
14th International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES '11), Taipei, Taiwan, October 9-14, 2011
Year:
2011
Publisher:
New York, NY, USA, ACM
ISBN:
978-1-4503-0713-0
Keywords:
Laboratories:




 Record created 2012-01-17, last modified 2018-09-13


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