Adaptive agent allocation for massively multi-agent applications

Myeong Wuk Jang, Gui Agha

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


Although distributed computing is necessary to execute massively multi-agent applications, the distribution of agents is challenging especially when the communication patterns among agents are continuously changing. This paper proposes two adaptive agent allocation mechanisms for massively multi-agent applications: one mechanism aims at minimizing agent communication cost, while the other mechanism attempts to prevent overloaded computer nodes from negatively affecting overall performance. We synthesize these two mechanisms in a multi-agent framework called Adaptive Actor Architecture (AAA). In AAA, each agent platform monitors the workload of its computer node and the communication patterns of agents executing on it. An agent platform periodically reallocates agents according to their communication localities. When an agent platform is overloaded, the platform migrates a set of agents, which have more intra-group communication than inter-group or inter-node communication, to a lightly loaded agent platform. These adaptive agent allocation mechanisms are developed as fully distributed algorithms, and they move the selected agents as a group. In order to evaluate these mechanisms, preliminary experimental results with large-scale micro UAV (Unmanned Aerial Vehicle) simulations are described.

Original languageEnglish (US)
Title of host publicationMassively Multi-Agent Systems I - First International Workshop, MMAS 2004, Revised Selected and Invited Papers
Number of pages15
ISBN (Print)3540269746, 9783540269748
StatePublished - 2005
Event1st International Workshop on Massively Multi-Agent Systems, MMAS 2004 - Kyoto, Japan
Duration: Dec 10 2004Dec 11 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3446 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Workshop on Massively Multi-Agent Systems, MMAS 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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