DocumentCode
2617588
Title
A flexible, large-scale, distributed agent based epidemic model
Author
Parker, Jon
Author_Institution
Brookings Instn., Washington
fYear
2007
fDate
9-12 Dec. 2007
Firstpage
1543
Lastpage
1547
Abstract
We describe a distributed agent based epidemic model that is capable of easily simulating several hundred million agents. The model is adaptable to shared-memory and distributed-memory architectures. Several problems are addressed to enable the distributed simulation: allocation of agents to available compute nodes, periodic synchronization of compute nodes, and efficient communication between compute nodes. We assert that our modeling scheme is easily adaptable to different hardware environments and does not require large investments in performance tuning or special case coding.
Keywords
distributed shared memory systems; software agents; software architecture; distributed agent; distributed-memory architectures; epidemic model; performance tuning; shared-memory architectures; special case coding; Central Processing Unit; Computational modeling; Computer architecture; Delay; Diseases; Distributed computing; Environmental economics; Java; Large-scale systems; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2007 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1306-5
Electronic_ISBN
978-1-4244-1306-5
Type
conf
DOI
10.1109/WSC.2007.4419769
Filename
4419769
Link To Document