Polymorphic self-* agents for stigmergic fault mitigation in large-scale real-time embedded systems

Derek Messie, Jae C. Oh

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

Organization and coordination of agents within large-scale, complex, distributed environments is one of the primary challenges in the field of multi-agent systems. A lot of interest has surfaced recently around self- * (self-organizing, self-managing, self-optimizing, self-protecting) agents. This paper presents polymorphic self-* agents that evolve a core set of roles and behavior based on environmental cues. The agents adapt these roles based on the changing demands of the environment, and are directly implementable in computer systems applications. The design combines strategies from game theory, stigmergy, and other biologically inspired models to address fault mitigation in large-scale, real-time, distributed systems. The agents are embedded within the individual digital signal processors of BTeV, a High Energy Physics experiment consisting of 2500 such processors. Results obtained using a SWARM simulation of the BTeV environment demonstrate the polymorphic character of the agents, and show how this design exceeds performance and reliability metrics obtained from comparable centralized, and even traditional decentralized approaches.

Original languageEnglish (US)
Pages699-705
Number of pages7
StatePublished - Dec 1 2005
Event4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 - Utrecht, Netherlands
Duration: Jul 25 2005Jul 29 2005

Other

Other4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05
CountryNetherlands
CityUtrecht
Period7/25/057/29/05

Keywords

  • Game theory
  • Multi-agent systems
  • Polymorphism
  • Self-* agents
  • Stigmergy
  • SWARM

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Messie, D., & Oh, J. C. (2005). Polymorphic self-* agents for stigmergic fault mitigation in large-scale real-time embedded systems. 699-705. Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.