Skip to main content
SpringerLink
Log in

Addressing the Challenges of Conservative Event Synchronization for the SARL Agent-Programming Language

  • Conference paper
  • First Online:
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection (PAAMS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10349))

Abstract

Synchronization mechanism is a key component of an agent-based simulation model and platform. Conservative and optimistic models were proposed in the domain of distributed and parallel simulations. However, the SARL agent-programming language is not equipped with specific simulation features, including synchronization mechanisms. The goal of this paper is to propose a conservative synchronization model for the SARL language and its run-time platform Janus.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Notes

  1. 1.

    http://www.sarl.io.

  2. 2.

    http://www.janusproject.io.

  3. 3.

    The time manager is a platform module or another agent that is storing and managing the time t over the simulation.

References

  1. Braubach, L., Pokahr, A., Lamersdorf, W., Krempels, K.-H., Woelk, P.-O.: A generic simulation service for distributed multi-agent systems. In: In From Agent Theory to Agent Implementation (AT2AI 2004), pp. 576–581 (2004)

    Google Scholar 

  2. Fujimoto, R.: Parallel discrete event simulation. Commun. ACM 33(10), 30–53 (1990)

    Article  Google Scholar 

  3. Fujimoto, R.: Parallel and Distributed Simulation Systems. Wiley, New York (2000)

    Google Scholar 

  4. Galland, S., Gaud, N.: Organizational and holonic modelling of a simulated and synthetic spatial environment. In: Weyns, D., Michel, F. (eds.) E4MAS 2014. LNCS, vol. 9068, pp. 147–169. Springer, Cham (2015). doi:10.1007/978-3-319-23850-0_10

    Chapter  Google Scholar 

  5. Jafer, S., Lui, Q., Wainer, G.: Synchronization methods in parallel and distributed discrete-event simulation. Simul. Model. Pract. Theory 30, 54–73 (2013)

    Article  Google Scholar 

  6. Jefferson, D.: Virtual time. ACM Trans. Program Lang Syst. 7, 404–425 (1985)

    Article  Google Scholar 

  7. Lamport, L.: TI clocks, and the ordering of events in a distributed system. Commun. ACM 21, 558–565 (1978)

    Article  MATH  Google Scholar 

  8. Michel, F.: The IRM4S model: the influence/reaction principle for multiagent based simulation. In: Sixth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS07). ACM, Honolulu, Hawaii, USA (2007)

    Google Scholar 

  9. Perumalla, K.: Parallel and distributed simulation: traditional techniques and recent advances. In: Proceedings of the 2006 Winter Simulation Conference, Monterey, CA, pp. 84–95 (2006)

    Google Scholar 

  10. Perumalla, K., Fujimoto, R.: Virtual time synchronization over unreliable network transport. In: Proceedings of the 15th International Workshop on Parallel and Distributed Simulation, Lake Arrowhead, CA, pp. 129–136 (2001)

    Google Scholar 

  11. Rodriguez, S., Gaud, N., Galland, S.: SARL: a general-purpose agent-oriented programming language. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 3, pp. 103–110, August 2014

    Google Scholar 

  12. Tropper, C.: Parallel discrete-event simulation applications. J. Parallel Distrib. Comput. 62(2), 327–335 (2002)

    Article  MATH  Google Scholar 

  13. Weyns, D., Holvoet, T.: Model for situated multi-agent systems with regional synchronization. In: Concurrent Engineering. Agents and Multi-agent Systems, Madeira, Portugal, pp. 177–188 (2003)

    Google Scholar 

  14. Weyns, D., Omicini, A., Odell, J.: Environment as a first-class abstraction in multi-agent systems. Auton. Agent. Multi-Agent Syst. 14(1), 5–30 (2007)

    Article  Google Scholar 

  15. Xu, Y., Cai, W., Aydt, H., Lees, M., Zehe, D.: An asynchronous synchronization strategy for parallel large-scale agent-based traffic simulations. In: SIGSIM-PADS 2015, London, United Kingdom, June 2015

    Google Scholar 

Download references

Acknowledgments

The research reported was partially funded by the IWT 135026 Smart-PT: Smart Adaptive Public Transport (ERA-NET Transport III Flagship Call 2013 “Future Traveling”).

Author information

Authors and Affiliations

  1. Transportation Research Institute (IMOB), Hasselt University, Agoralaan, 3590, Diepenbeek, Belgium

    Glenn Cich, Luk Knapen, Ansar-Ul-Haque Yasar, Tom Bellemans & Davy Janssens

  2. LE2I, Univ. Bourgogne Franche-Comté, UTBM, 90010, Belfort, France

    Stéphane Galland

Authors
  1. Glenn Cich
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stéphane Galland
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luk Knapen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ansar-Ul-Haque Yasar
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tom Bellemans
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Davy Janssens
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Glenn Cich .

Editor information

Editors and Affiliations

  1. Centre National de la Rech. Scientifique , Grenoble, France

    Yves Demazeau

  2. Malmö University , Malmö, Sweden

    Paul Davidsson

  3. Universidad Politécnica de Madrid , Madrid, Spain

    Javier Bajo

  4. Polytechnic Institute of Porto , Porto, Portugal

    Zita Vale

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Cich, G., Galland, S., Knapen, L., Yasar, AUH., Bellemans, T., Janssens, D. (2017). Addressing the Challenges of Conservative Event Synchronization for the SARL Agent-Programming Language. In: Demazeau, Y., Davidsson, P., Bajo, J., Vale, Z. (eds) Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. PAAMS 2017. Lecture Notes in Computer Science(), vol 10349. Springer, Cham. https://doi.org/10.1007/978-3-319-59930-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59930-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59929-8

  • Online ISBN: 978-3-319-59930-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation