A distributed platform for global-scale agent-based models of disease transmission

Jon Parker; Joshua M. Epstein

doi:10.1145/2043635.2043637

A distributed platform for global-scale agent-based models of disease transmission

Jon Parker, Joshua M. Epstein

Global Public Health

Research output: Contribution to journal › Article › peer-review

Abstract

The Global-Scale Agent Model (GSAM) is presented. The GSAM is a high-performance distributed platform for agent-based epidemic modeling capable of simulating a disease outbreak in a population of several billion agents. It is unprecedented in its scale, its speed, and its use of Java. Solutions to multiple challenges inherent in distributing massive agent-based models are presented. Communication, synchronization, and memory usage are among the topics covered in detail. The memory usage discussion is Java specific. However, the communication and synchronization discussions apply broadly. We provide benchmarks illustrating the GSAM's speed and scalability.

Original language	English (US)
Article number	2
Journal	ACM Transactions on Modeling and Computer Simulation
Volume	22
Issue number	1
DOIs	https://doi.org/10.1145/2043635.2043637
State	Published - Dec 2011

Keywords

Agent behavior
Agent-based modeling
Epidemiology

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications

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10.1145/2043635.2043637

Cite this

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A distributed platform for global-scale agent-based models of disease transmission

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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