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Transcript
DARPA Network Modeling &
Simulation (NMS) Integration
Presented to Dr. Sri Kumar (DARPA
PM)
By
Georgia Tech, UCLA, and SSC SD
30 MAY 01
New Capabilities To Be
Demonstrated
• Rapid Validation of Comm Plans
– Evaluate effect of insertion of new technology (e.g.,
substitute new or COTS products for a portion of the
network)
• Rapid adaptive reconfiguration in response to
unexpected events
– Resource provisioning
– Throttling of certain applications
• Rapid analysis of network capabilities
– Network analysis for sensor-to-shooter scenario of
interest
New Technology Demonstrated
• Heterogeneous simulation capability
(combine models from different network
simulation packages)
• Distributed simulation capability over a
Run-Time Interface (RTI)
• Fast simulation capability, including use of
flow models where appropriate
• Real-Time measurement capability
NMS Integration Demo 01
• Target implementation of simulator in JICF
test facility, integrated with SSC SD
network testbed
– e.g., QualNet and NS tied together over a LAN
Backplane
• Integrate work of other PIs
– Flow models: Towsley
– Measurement: Claffy
Short Term Plans
• SPAWAR Systems Center SD:
– Collect & sanitize traffic traces from realistic Navy
scenarios such as in the Joint Interoperable
Communications Facility
– Express traffic as a SDF (Simulation Description File)
file
– Provide model description information to
UCLA/Georgia tech
• UCLA/Georgia Tech:
– Develop interfaces from SDF to the heterogeneous
simulation capability
– Develop relevant models with scalability
• All
– Simulate & validate traffic scenario
– Demo potential for scaling-up to evaluate large scale
battlefield exercises
DARPA NMS 01 Demo Timeline
Collect Data From JICF
Acquire Required H/W
& S/W
SSC SD
Coordinate to include other PI
work (e.g., Claffy, Towsley)
Construct M&S Scenario in SDF
GA
TECH
Interim Sim Op
Test (15 AUG)
Final 01 demo
Develop interfaces from SDF to heterogeneous sim
Develop relevant models with scalability
Develop interfaces from SDF to heterogeneous sim
UCLA
Develop relevant models with scalability
JUN 01
JUL 01
AUG 01
SEP 01
OCT 01