Skip to main content

Fault Effects Analysis and Reporting System for Dependability Evaluation

  • Conference paper
Rough Sets and Current Trends in Computing (RSCTC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6086))

Included in the following conference series:

Abstract

The paper describes the concept and the architecture of the data warehouse and reporting modules dedicated to distributed fault injection testbench. The purpose of this warehouse is to collect the data from fault simulation experiments and support researchers in exploration and analysis of these results. The data model of the warehouse, main ETL processes, multidimensional structure of OLAP cube, and predefined reports are discussed. Practical advantages of the presented system are illustrated with some exemplary analyses of the experimental results collected during dependability evaluation of the chemical reactor control algorithm with software implemented fault injection approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. SAS 9.1.3 Documentation, http://support.sas.com/documentation

  2. Madeira, H., Costa, J., Vieira, M.: The OLAP and Data Warehousing Approaches for Analysis and Sharing of Results from Dependability Evaluation Experiments. In: Int’l. Conf. on Dep. Systems and Networks, pp. 22–25. IEEE, Los Alamitos (2003)

    Google Scholar 

  3. Gawkowski, P., Sosnowski, J.: Developing Fault Injection Environment for Complex Experiments. In: 14th IEEE Int’l. On-Line Testing Symp., pp. 179–181. IEEE, Los Alamitos (2008)

    Chapter  Google Scholar 

  4. PintĂ©r, G., Madeira, H., Vieira, M., Majzik, I., Pataricza, A.: Integration of OLAP and data mining for analysis of results from dependability evaluation experiments. Int’l. J. of Knowledge Management Studies 2, 480–498 (2008)

    Article  Google Scholar 

  5. Benso, A., Prinetto, P. (eds.): Fault injection techniques and tools for embedded systems reliability evaluation. Kluwer Academic Publisher, Dordrecht (2003)

    MATH  Google Scholar 

  6. Sosnowski, J., Lesiak, A., Gawkowski, P., WƂodawiec, P.: Software Implemented Fault Inserters. In: IFAC Work. on Progr. Dev. and Sys., pp. 293–298 (2003)

    Google Scholar 

  7. Sosnowski, J., Tymoczko, A., Gawkowski, P.: An approach to distributed fault injection experiments. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds.) PPAM 2007. LNCS, vol. 4967, pp. 361–370. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Gawkowski, P., Sosnowski, J.: Experiences with software implemented fault injection. In: Int’l. Conf. on Arch. of Comp. Sys., pp. 73–80. VDE Verlag GMBH (2007)

    Google Scholar 

  9. Karnik, T., Hazucha, P., Patel, J.: Characterization of soft errors caused by single event upsets in CMOS processes. IEEE Transactions on Dependable and Secure Computing 1(2), 128–143 (2004)

    Article  Google Scholar 

  10. Sosnowski, J., Zygulski, P., Gawkowski, P.: Developing data warehouse for simulation experiments. In: Kryszkiewicz, M., Peters, J.F., RybiƄski, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 543–552. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Gawkowski, P., Ɓawryñczuk, M., Marusak, P.M., Tatjewski, P., Sosnowski, J.: On improving dependability of the numerical GPC algorithm. In: European Control Conference, Budapest, Hungary, pp. 1377–1382 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gawkowski, P., KuczyƄska, M.A., Komorowska, A. (2010). Fault Effects Analysis and Reporting System for Dependability Evaluation. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13529-3_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13528-6

  • Online ISBN: 978-3-642-13529-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics