Skip to main content

Towards a Predictive Fault Tolerance Approach in Multi-Agent Systems

  • Conference paper
Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6682))

  • 1802 Accesses

Abstract

Developing a fault-tolerant system require the use of the fault prevention techniques, fault recovery techniques and fault tolerance techniques. In this paper we are going to present a technique which predicts fault occurrence in multi-agent systems. It consists on the identification of critical tasks and the set up of a rule base which defines the situations guiding to break down a running multi-agent system.

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. Mellouli, S.: A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems. In: Kobti, Z., Wu, D. (eds.) Canadian AI 2007. LNCS (LNAI), vol. 4509, pp. 61–72. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. De Luna Almeida, A., Aknine, S., Briot, J., Malenfant, J.: Predictive Fault Tolerance in Multi-Agent Systems: a Plan-Based Replication Approach. In: Proceedings of the 5th international conference on Autonomous agents and multi-agent systems AAMAS 2007, pp. 921–923 (2007)

    Google Scholar 

  3. Potiron, K., Taillibert, P., El Fallah Seghrouchni, A.: A Step Towards Fault Tolerance for Multi-Agent Systems. In: Dastani, M.M., El Fallah Seghrouchni, A., Leite, J., Torroni, P. (eds.) LADS 2007. LNCS (LNAI), vol. 5118, pp. 156–172. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Guessoum, Z., Faci, N., Briot, J.-P.: Adaptive Replication of Large-Scale Multi-agent Systems – Towards a Fault-Tolerant Multi-agent Platform. In: Garcia, A., Choren, R., Lucena, C., Giorgini, P., Holvoet, T., Romanovsky, A. (eds.) SELMAS 2005. LNCS, vol. 3914, pp. 238–253. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Ball, E., Butler, M.: Event-B Patterns for Specifying Fault-Tolerance in Multi-agent Interaction. In: Butler, M., Jones, C., Romanovsky, A., Troubitsyna, E. (eds.) Methods, Models and Tools for Fault Tolerance. LNCS, vol. 5454, pp. 104–129. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Kumar, S., Cohen, P.R.: Towards a fault-tolerant multi-agent system architecture. In: Proceedings of the Fourth International Conference on Autonomous Agents (2000)

    Google Scholar 

  7. Birman, K.P. (ed.): Building Secure and Reliable Network Applications. Part III, Reliable Distributed Computing, ch. 12-26 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Telghamti, S., Maamri, R. (2011). Towards a Predictive Fault Tolerance Approach in Multi-Agent Systems. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2011. Lecture Notes in Computer Science(), vol 6682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22000-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22000-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21999-3

  • Online ISBN: 978-3-642-22000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics