Smooth scaling ahead: Progressive MAS simulation from single PCs to grids

Leslie G Gasser, Kelvin Kakugawa, Brant Chee, Marc Esteva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The emerging "Computational Grid" infrastructure poses many new opportunities for the developing science of large scale multi-agent simulation. The ability to migrate agent experiments seamlessly from simple, local single-processor development tools to large-scale distributed simulation environments provides valuable new models for experimentation and software engineering: first develop local, flexible prototypes, then as they become more stable progressively deploy and experiment with them at larger scales. Currently this kind of progressive scalability is hard for both practical and theoretical reasons: Practically, most agent platforms are designed for just one environment of operation. Smooth scalability is more than a matter of increasing agent numbers. Smooth scaling requires clear integration and consistent alignment between a variety of MAS system and simulation architectures and differing underlying infrastructures. This paper reports on recent progress with our experimental platform MACE3J, which now simulates MAS models seamlessly across a variety of scales and architecture types, from single PCs, to Single System Image (SSI) multicomputers, to heterogeneous distributed Grid environments.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages1-10
Number of pages10
StatePublished - Dec 1 2005
EventJoint Workshop MABS 2004 - New York, NY, United States
Duration: Jul 19 2004Jul 23 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3415 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherJoint Workshop MABS 2004
CountryUnited States
CityNew York, NY
Period7/19/047/23/04

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Gasser, L. G., Kakugawa, K., Chee, B., & Esteva, M. (2005). Smooth scaling ahead: Progressive MAS simulation from single PCs to grids. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 1-10). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3415 LNAI).