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A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission
Filetype[PDF - 2.41 MB]


Details:
  • Pubmed ID:
    24465120
  • Pubmed Central ID:
    PMC3898773
  • Funding:
    R24 HD042854/HD/NICHD NIH HHS/United States
    U01 GM070708/GM/NIGMS NIH HHS/United States
    DP1 OD003874/OD/NIH HHS/United States
    P01 TP000304/TP/OPHPR CDC HHS/United States
    DP1 GM105382/GM/NIGMS NIH HHS/United States
  • Document Type:
  • Collection(s):
  • Description:
    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.