Abstract/Details

Performance modeling and analysis techniques for integrated embedded control software design


2004 2004

Other formats: Order a copy

Abstract (summary)

Today's software for embedded control systems has become large and complicated. Model-based design and analysis methods are therefore crucial for fast and low-cost development of embedded control software. In this dissertation, we developed techniques to support the performance analysis of embedded control software at various design phases. These techniques include a performance modeling framework and a set of modeling and analysis methods based on the framework. The modeling framework defines the performance parameters that capture the performance information required by performance analysis and performance-aware design. The values of these parameters are first represented as platform-independent virtual resource demands, then converted to the true resource demands after the software deployment is determined. Our modeling method is based on annotations supporting performance reuse and performance model evolution during the functional design of the software.

The performance analysis methods include methods for both early design performance estimations and runtime model performance analysis. The performance estimation requires only a software architecture model with performance annotations. The analysis results are bound estimations both of end-to-end response delays and of system resource demands, which are derived from the best-case and worst-case configurations in an ideal execution environment. Such estimations can be used for performance analysis at an early design phase with software models containing no deployment information. We further demonstrated how to use the analysis results for software architecture and platform design. The analysis of a runtime model requires a complete software model, including its execution environment and deployment. Our runtime model analysis methods adopt existing real-time analysis algorithms, which we modify to fit our model. The results help identify the performance issues and can be used for design refinement.

Another technique developed in this dissertation is a performance-aware method of transforming design models. It takes the models of the software architecture and the platform as the inputs, and transforms the software model into a runtime model with the software deployed on the platform in such a way that both timing and resource constraints are met. Evaluations based on a set of randomly-generated system models have shown this method to be scalable and effective. In order to collect the performance characteristics of application components and system software services, we developed a performance measurement method. It uses an end-to-end measurement with a combination of synthetic workloads and micro-benchmarks. Results of performance measured using this method can be reused in the performance analysis of a family of applications and platforms of a designated domain.

Finally, all the techniques we developed have been implemented in an embedded control software design toolkit, called the AIRES toolkit. The implementation has shown that these techniques can be easily integrated with any generic software modeling tool to support performance analysis. This is a significant advance in current software development tool support because it fills the gap in integrating software modeling with performance analysis.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences; Design automation; Embedded control software; Performance modeling; Software development
Title
Performance modeling and analysis techniques for integrated embedded control software design
Author
Wang, Shige
Number of pages
223
Publication year
2004
Degree date
2004
School code
0127
Source
DAI-B 65/10, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
049609680X, 9780496096800
Advisor
Shin, Kang Geun
University/institution
University of Michigan
University location
United States -- Michigan
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3150116
ProQuest document ID
305184238
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/305184238
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.