一个用于全球范围基于主体的疾病传播模型的分布式平台。
A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission.
作者信息
Parker Jon, Epstein Joshua M
机构信息
The Johns Hopkins University.
出版信息
ACM Trans Model Comput Simul. 2011 Dec;22(1):2. doi: 10.1145/2043635.2043637.
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.
摘要
本文介绍了全球尺度智能体模型（GSAM）。GSAM是一个用于基于智能体的流行病建模的高性能分布式平台，能够模拟数十亿智能体群体中的疾病爆发。它在规模、速度以及Java的使用方面都是前所未有的。文中提出了针对大规模基于智能体模型分布式所固有的多重挑战的解决方案。通信、同步和内存使用是详细讨论的主题。内存使用的讨论是特定于Java的。然而，通信和同步的讨论具有广泛的适用性。我们提供了基准测试来说明GSAM的速度和可扩展性。
相似文献
1
A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission.
ACM Trans Model Comput Simul. 2011 Dec;22(1):2. doi: 10.1145/2043635.2043637.
2
Integration of small world networks with multi-agent systems for simulating epidemic spatiotemporal transmission.
Chin Sci Bull. 2010;55(13):1285-1293. doi: 10.1007/s11434-009-0623-3. Epub 2010 May 6.
3
Rapid development and deployment of high-volume vaccines for pandemic response.
J Adv Manuf Process. 2020 Jul;2(3):e10060. doi: 10.1002/amp2.10060. Epub 2020 Jun 29.
4
Distributed Agent-Based Orchestrator Model for Fog Computing.
Sensors (Basel). 2022 Aug 7;22(15):5894. doi: 10.3390/s22155894.
5
Epidemiology-based Task Assignment Algorithm for Distributed Systems.
Procedia Comput Sci. 2016;95:428-435. doi: 10.1016/j.procs.2016.09.356. Epub 2016 Oct 30.
6
Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models.
BMC Infect Dis. 2010 Jun 29;10:190. doi: 10.1186/1471-2334-10-190.
7
SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling.
Int J Agent Technol Syst. 2010;2(3):18-30. doi: 10.4018/jats.2010070102.
8
A multi-paradigm modeling framework to simulate dynamic reciprocity in a bioreactor.
PLoS One. 2013;8(3):e59671. doi: 10.1371/journal.pone.0059671. Epub 2013 Mar 29.
9
High performance computing for three-dimensional agent-based molecular models.
J Mol Graph Model. 2016 Jul;68:68-77. doi: 10.1016/j.jmgm.2016.06.001. Epub 2016 Jun 8.
10
Exploring memory synchronization and performance considerations for FPGA platform using the high-abstracted OpenCL framework: Benchmarks development and analysis.
PLoS One. 2024 May 13;19(5):e0301720. doi: 10.1371/journal.pone.0301720. eCollection 2024.
引用本文的文献
1
Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model.
Sci Rep. 2023 Aug 8;13(1):12836. doi: 10.1038/s41598-023-37980-7.
2
Dynamic model of respiratory infectious disease transmission in urban public transportation systems.
Heliyon. 2023 Mar 11;9(3):e14500. doi: 10.1016/j.heliyon.2023.e14500. eCollection 2023 Mar.
3
Planning as Inference in Epidemiological Dynamics Models.
Front Artif Intell. 2022 Mar 31;4:550603. doi: 10.3389/frai.2021.550603. eCollection 2021.
4
An agent-based model of spread of a pandemic with validation using COVID-19 data from New York State.
Physica A. 2022 Jan 1;585:126401. doi: 10.1016/j.physa.2021.126401. Epub 2021 Sep 8.
5
Epidemiological models and COVID-19: a comparative view.
Hist Philos Life Sci. 2021 Aug 25;43(3):104. doi: 10.1007/s40656-021-00457-9.
6
Agent-based analysis of contagion events according to sourcing locations.
Sci Rep. 2021 Aug 6;11(1):16032. doi: 10.1038/s41598-021-95336-5.
7
Unfixed Movement Route Model, Non-Overcrowding and Social Distancing Reduce the Spread of COVID-19 in Sporting Facilities.
Int J Environ Res Public Health. 2021 Aug 3;18(15):8212. doi: 10.3390/ijerph18158212.
8
Triple contagion: a two-fears epidemic model.
J R Soc Interface. 2021 Aug;18(181):20210186. doi: 10.1098/rsif.2021.0186. Epub 2021 Aug 4.
9
Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in the District of Columbia.
PLoS One. 2020 Nov 10;15(11):e0241949. doi: 10.1371/journal.pone.0241949. eCollection 2020.
10
Mathematical and computational approaches to epidemic modeling: a comprehensive review.
Front Comput Sci (Berl). 2015;9(5):806-826. doi: 10.1007/s11704-014-3369-2. Epub 2015 Oct 9.
本文引用的文献
1
Using Influenza-Like Illness Data to Reconstruct an Influenza Outbreak.
Math Comput Model. 2008;48(5-6):929-939. doi: 10.1016/j.mcm.2007.11.016.
2
Coupled contagion dynamics of fear and disease: mathematical and computational explorations.
PLoS One. 2008;3(12):e3955. doi: 10.1371/journal.pone.0003955. Epub 2008 Dec 16.
3
Targeted social distancing design for pandemic influenza.
Emerg Infect Dis. 2006 Nov;12(11):1671-81. doi: 10.3201/eid1211.060255.
4
Individual-based computational modeling of smallpox epidemic control strategies.
Acad Emerg Med. 2006 Nov;13(11):1142-9. doi: 10.1197/j.aem.2006.07.017.
5
Strategies for mitigating an influenza pandemic.
Nature. 2006 Jul 27;442(7101):448-52. doi: 10.1038/nature04795. Epub 2006 Apr 26.
6
Strategies for containing an emerging influenza pandemic in Southeast Asia.
Nature. 2005 Sep 8;437(7056):209-14. doi: 10.1038/nature04017. Epub 2005 Aug 3.
7
Containing pandemic influenza at the source.
Science. 2005 Aug 12;309(5737):1083-7. doi: 10.1126/science.1115717. Epub 2005 Aug 3.
8
Modelling disease outbreaks in realistic urban social networks.
Nature. 2004 May 13;429(6988):180-4. doi: 10.1038/nature02541.
9
Containing pandemic influenza with antiviral agents.
Am J Epidemiol. 2004 Apr 1;159(7):623-33. doi: 10.1093/aje/kwh092.
Zotero 插件