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Continuous Constant-Memory Monitoring of Embedded Software Timing

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

2nd International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS11), satellite workshop of EUROMICRO Conference on Real-Time Systems (ECRTS11)


Abstract

A method is presented for generating statistical models of timing data continuously over very long monitoring sessions. This method is intended for memory-efficient runtime modeling of timing properties in embedded software systems, such as execution times or inter-arrival times, but is a quite generic method that should be applicable for other purposes and domains as well. Specifically, we intend to use this method as a component in automatic generation of simulation models for probabilistic timing analysis of complex embedded software systems. Given a stream of data as input, this method gradually builds up a statistical model capturing the approximate distribution of the data. The method uses a modest and fixed amount of on-target RAM, decided by the desired accuracy of the model, and allows for long monitoring sessions covering billions of data points. The paper presents the motivation, algorithm, a prototype implementation and evaluation using real execution time data from an ARM7 microcontroller.

Bibtex

@inproceedings{Kraft2161,
author = {Johan Kraft and Thomas Nolte},
title = {Continuous Constant-Memory Monitoring of Embedded Software Timing },
month = {July},
year = {2011},
booktitle = {2nd International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS11), satellite workshop of EUROMICRO Conference on Real-Time Systems (ECRTS11)},
url = {http://www.es.mdh.se/publications/2161-}
}