Advertisement

Distributed Decision-Making and Control for Agile Military Radio Networks

  • James Wise
  • Gareth Smith
  • John Salt
  • Paul Huey
  • Graham Atkins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3890)

Abstract

We propose an agent-based autonomic network control system that allows an agile mission group to reconfigure their network, while maintaining a high tempo, yet minimise their demands on signals staff. Our architecture describes services that configure a device, and a hierarchy of networks, in terms of the contribution that each makes to networks of which it is a member, end-to-end services provided to its users, and objectives assigned to it by the signals staff. Agent-based services accept high-level direction from commanders, through signals staff, and cooperate to decide and enforce policies for the control of network configuration, services and traffic in support of the mission objectives and the changing needs of the users. To experiment with services that implement our architecture, we created a testbed that provides emulated terminals as part of an emulated military network that can replicate the end-to-end conditions present in a variety of wired and radio network environments.

Keywords

Virtual Network Network Control System Network Device Autonomic Computing Autonomic Behaviour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Network Enabled Capability, JSP 777 (Edition 1). Ministry of Defence (January 2005), http://www.mod.uk/linked_files/issues/nec/nec_jsp777.pdf
  2. 2.
    Barr, R., Haas, Z.J., van Renesse, R.: JiST: Embedding Simulation Time into a Virtual Machine. In: Proceedings of the 5th EuroSim Congress on Modelling and Simulation (2004)Google Scholar
  3. 3.
    Borshchev, A., Filippov, A.: From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. In: The 22nd International Conference of the System Dynamics Society (2004)Google Scholar
  4. 4.
    Boutaba, R., Xiao, J.: Network Management: State of the Art. In: Proceedings of IFIP World Computer Congress (WCC 2002) TC6 Stream on Communication Systems: The State of the Art, pp. 127–146 (2002)Google Scholar
  5. 5.
    Edmonds, B., Bryson, J.J.: The Insufficiency of Formal Design Methods – the necessity of an experimental approach for the understanding and control of complex MAS. In: Proceedings of AAMAS 2004, pp. 938–945 (2004)Google Scholar
  6. 6.
    Foster, I., Jennings, N.R., Kesselman, C.: Brain Meets Brawn: Why Grid and Agents Need Each Other. In: Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004), pp. 8–15 (2004)Google Scholar
  7. 7.
    Helsinger, A., Kleinmann, K., Brinn, M.A.: Framework to Control Emergent Survivability of Multi-Agent Systems. In: Proceedings of AAMAS 2004, pp. 28–35 (2004)Google Scholar
  8. 8.
    Helsinger, A., Wright, T.: Cougaar: A Robust Configurable Multi-Agent Platform. In: Proceedings of IEEEAC 2005, paper 1412 Version 2 (2004)Google Scholar
  9. 9.
    Horn, P.: Autonomic computing: IBM’s Perspective on the State of Information Technology (2001), http://www.research.ibm.com/autonomic/manifesto/
  10. 10.
    Kephart, J.O., Chess, D.M.: The vision of Autonomic Computing. IEEE Computer (January 2003)Google Scholar
  11. 11.
    Kephart, J.O., Walsh, W.E.: An Artificial Intelligence Perspective on Autonomic Computing Policies. In: Fifth IEEE International Workshop on Policies for Distributed Systems and Networks, pp. 3–12 (2004)Google Scholar
  12. 12.
    Parunak, H.V.D., Brueckner, S.A.: Stigmergic Learning for Self-Organising Mobile Ad-hoc Networks (MANET’s). In: Proceedings of AAMAS 2004, pp. 1324–1331 (2004)Google Scholar
  13. 13.
    Tesauro, G., et al.: A Multi-Agent Systems Approach to Autonomic Computing. In: Proceedings of AAMAS 2004, pp. 464–471 (2004)Google Scholar
  14. 14.
    Zec, M.: Implementing a Clonable Network Stack in the FreeBSD Kernel. In: Proceedings of the 2003 USENIX Annual Technical Conference (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • James Wise
    • 1
  • Gareth Smith
    • 1
  • John Salt
    • 1
  • Paul Huey
    • 1
  • Graham Atkins
    • 1
  1. 1.Bryn BrithdirGeneral Dynamics United Kingdom LimitedOakdale, BlackwoodUK

Personalised recommendations