Table of Contents
Advances in Computer Engineering
Volume 2014, Article ID 173976, 8 pages
http://dx.doi.org/10.1155/2014/173976
Research Article

Real-Time Linux Analysis Using Low-Impact Tracer

École Polytechnique de Montréal, C.P. 6079, Station Downtown, Montréal, QC, Canada H3C 3A7

Received 21 March 2014; Accepted 18 May 2014; Published 5 June 2014

Academic Editor: Ying-Tung Hsiao

Copyright © 2014 François Rajotte and Michel R. Dagenais. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Beamonte, Traçage de systèmes linux multi-coeurs en temps réel [Ph.D. thesis], École Polytechnique de Montréal, Montréal, Canda, 2013.
  2. F. Giraldeau, J. Desfossez, D. Goulet, M. Dagenais, and M. Desnoyers, “Recovering system metrics from kernel trace,” in Proceedings of the Ottawa Linux Symposium (OLS '11), pp. 109–116, 2011.
  3. O. M. D. Santos and A. Wellings, “Measuring and policing blocking times in real-time systems,” ACM Transactions on Embedded Computing Systems (TECS), vol. 10, no. 1, article 2, 2010. View at Publisher · View at Google Scholar
  4. A. Terrasa and G. Bernat, “Extracting temporal properties from real-time systems by automatic tracing analysis,” in Real-Time and Embedded Computing Systems and Applications, pp. 466–485, Springer, New York, NY, USA, 2004. View at Google Scholar
  5. H. Mannila, H. Toivonen, and A. I. Verkamo, “Discovery of frequent episodes in event sequences,” Data Mining and Knowledge Discovery, vol. 1, no. 3, pp. 259–289, 1997. View at Google Scholar
  6. P. L. Cueva, A. Bertaux, A. Termier, J. F. Méhaut, and M. Santana, “Debugging embedded multimedia application traces through periodic pattern mining,” in Proceedings of the 10th ACM International Conference on Embedded Software (EMSOFT '12), pp. 13–22, ACM, New York, NY, USA, 2012. View at Publisher · View at Google Scholar
  7. S. Ma and J. L. Hellerstein, “Mining partially periodic event patterns with unknown periods,” in Proceedingsof the 17th International Conference on Data Engineering, pp. 205–214, IEEE, Heidelberg, Germany, 2001. View at Publisher · View at Google Scholar
  8. W. de Pauw and S. Heisig, “Zinsight: a visual and analytic environment for exploring large event traces,” in Proceedings of the 5th International Symposium on Software Visualization (SOFTVIS '10), pp. 143–152, ACM, New York, NY, USA, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. D. F. Bacon, P. Cheng, D. Frampton, and D. Grove, “Tuningfork: visualization, analysis and debugging of complex real-time systems,” IBM Research RC24162, 2007. View at Google Scholar
  10. B. Sprunt, L. Sha, and J. Lehoczky, “Scheduling sporadic and aperiodic events in a hard real-time system,” Tech. Rep., DTIC Document, 1989. View at Google Scholar