NDLI: Scalable agent distribution mechanisms for large-scale UAV simulations

Content Provider	IEEE Xplore Digital Library
Author	Myeong-Wuk Jang Agha, G.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA (Myeong-Wuk Jang; Agha, G.)
Abstract	A cluster of computers is required to execute large-scale multi-agent. However, such execution incurs an inter-node communication overhead because agents intensively communicate with other agents to achieve common goals. Although a number of dynamic load balancing mechanisms have been developed, these mechanisms are not scalable in multi-agent applications because of the overhead involved in analyzing the communication patterns of agents. This paper proposes two scalable dynamic agent distribution mechanisms; one mechanism aims at minimizing agent communication cost, and the other mechanism attempts to move agents from overloaded agent platforms to lightly loaded platforms. Our mechanisms are fully distributed algorithms and analyze only coarse-grain communication dependencies of agents, thus providing scalability. We describe the results of applying these mechanisms to large-scale micro UAV (unmanned aerial vehicle) simulations involving up to 10,000 agents.
Sponsorship	IEEE Boston Sect
Starting Page	85
Ending Page	90
File Size	1804587
Page Count	6
File Format	PDF
ISBN	078039013X
DOI	10.1109/KIMAS.2005.1427058
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiagent systems Costs Scalability Computational modeling Load management Unmanned aerial vehicles Large-scale systems Application software Vehicle dynamics Pattern analysis
Content Type	Text
Resource Type	Article

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