You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Continuous Constant-Memory Monitoring of Embedded Software Timing

Fulltext:


Authors:

Johan Kraft, Thomas Nolte

Research group:

Complex Real-Time Embedded Systems

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.mdu.se/publications/2161-}
}