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Early-stage performance modeling and its application for integrated embedded control software design
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Source Workshop on Software and Performance archive
Proceedings of the 4th international workshop on Software and performance table of contents
Redwood Shores, California
SESSION: Performance measurement and modeling I table of contents
Pages: 110 - 114  
Year of Publication: 2004
ISBN ~ ISSN:0163-5948 , 1-58113-673-0
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Authors
Shige Wang  The University of Michigan, Ann Arbor, MI
Kang G. Shin  The University of Michigan, Ann Arbor, MI
Sponsors
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Most of current embedded control software (ECSW) development techniques deal only with performance specifications during the early software design phase and delay the modeling and analysis until the detail design has been completed. In this paper, we propose a new approach to modeling and analysis of the performance of the designed ECSW without knowing the platform configuration and the software deployment. The functional model is assumed --- as is commonly the case in practice --- to be constructed by integrating existing (reusable) software components. The performance of components and connections in the model are modeled using annotated requirements and virtual resource demands. Our algorithm then computes the system performance such as end-to-end delays of transactions and workloads by traversing the model. The results can be applied to the platform design and runtime architecture generation. To demonstrate the usefulness of the proposed method in real world applications, we present the analysis of automotive vehicle-to-vehicle control software as an example.


REFERENCES

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J. Sun. Fixed-priority end-to-end scheduling in distributed real-time systems. PhD thesis, Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, 1997.
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Collaborative Colleagues:
Shige Wang: colleagues
Kang G. Shin: colleagues