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 | |
| State | Published - Dec 2011 |
| Externally published | Yes |
Keywords
- Agent behavior
- Agent-based modeling
- Epidemiology
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Science Applications