A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission

Details

• Alternative Title:
  ACM Trans Model Comput Simul
• Personal Author:
  Parker, Jon ; Epstein, Joshua M.
• 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.
• Keywords:
  Agent-based Modeling Agent Behavior Design Epidemiology Performance
• Source:
  ACM Trans Model Comput Simul. 2011; 22(1):2-
• Pubmed ID:
  24465120
• Pubmed Central ID:
  PMC3898773
• Document Type:
  Journal Article
• Funding:
  R24 HD042854/HD/NICHD NIH HHSUnited States/ ; U01 GM070708/GM/NIGMS NIH HHSUnited States/ ; DP1 OD003874/OD/NIH HHSUnited States/ ; P01 TP000304/TP/OPHPR CDC HHSUnited States/ ; DP1 GM105382/GM/NIGMS NIH HHSUnited States/
• Volume:
  22
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:c873c65c13b45500ffb4dacb3fbb176b7ad9aa09bd2f98795984f1e685ba0614
• Download URL:
  https://stacks.cdc.gov/view/cdc/41939/cdc_41939_DS1.pdf
• File Type:
  [PDF - 2.41 MB ]