Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
24
click to vote
PADS
2000
ACM
favorite
Email
discuss
report
98
views
Modeling and Simulation
»
more
PADS 2000
»
An approach for federating parallel simulators
14 years 3 months ago
Download
www.ics.uci.edu
Steve L. Ferenci, Kalyan S. Perumalla, Richard M.
Real-time Traffic
Modelling And Simulation
|
PADS 2000
|
claim paper
Related Content
»
A Federated Approach to Parallel and Distributed Simulation of Complex Systems
»
Improving performance by replicating simulations with alternative synchronization approach...
»
SpaceParallel Network Simulations Using Ghosts
»
Building Parallel TimeConstrained HLA Federates A Case Study with the Parsec Parallel Simu...
»
Exploring AgentSupported Simulation Brokering on the Semantic Web Foundations for a Dynami...
»
Decentralised Resource Discovery Service for Large Scale Federated Grids
»
Exploiting Temporal Uncertainty in Parallel and Distributed Simulations
»
Scalable RTIBased Parallel Simulation of Networks
»
Modeling and Simulation of Complex Interdependent Systems A Federated AgentBased Approach
more »
Post Info
More Details (n/a)
Added
01 Aug 2010
Updated
01 Aug 2010
Type
Conference
Year
2000
Where
PADS
Authors
Steve L. Ferenci, Kalyan S. Perumalla, Richard M. Fujimoto
Comments
(0)
Researcher Info
Modeling And Simulation Study Group
Computer Vision