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RealTime Performance of RTI Version 1'3

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2 Encore RSX machines. 1 for each manned player. SG Challenge machine. 8 200 MHz R4400 processors ... to Encore. Latency Measurements. HLA vs. DIS vs. DIS-Lite ... – PowerPoint PPT presentation

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Title: RealTime Performance of RTI Version 1'3


1


Real-Time Performance of RTI Version 1.3
Presented By Ernest F. Payne Raytheon Systems
2
AFRL/VACD Simulator Networking Interests
  • High fidelity simulations of dynamic air vehicles
    on a network
  • What does the pilot perceive across networks?
  • end-to-end delays and latency
  • spatial accuracy
  • bandwidth
  • Measurement of network performance
  • understand where improvements are needed
  • Improvements to efficiency of protocols
    architectures
  • What are the best network architectures?

3
(No Transcript)
4
Objective of HLA Evaluation
  • The purpose of the High Level Architecture (HLA)
    Evaluation is to compare its performance in
    flight simulator systems to the performance of
    the previous technology - which at the time was
    the Distributed Interactive Simulation (DIS)
    protocol

5
Approach
  • Integrate RTI 1.3v2 for Silicon Graphics into the
    Network Evaluation for Training Systems (NETS)
    testing setup
  • Evaluate HLA performance as a function of network
    loading
  • local area and wide area end-to-end latency
  • bandwidth
  • accuracy

6
HLA Architecture
7
Hardware
  • 2 Encore RSX machines
  • 1 for each manned player
  • SG Challenge machine
  • 8 200 MHz R4400 processors
  • E-Plex board for Ethernet connections
  • IRIX 6.2
  • Synchronized through external interrupts or
    shared memory flags

8
HLA Evaluation Software
  • HLA Evaluation used RTI 1.3v2
  • Each HLA NIU was isolated to its own CPU using
    REACT 3.0
  • RPR-FOM 0.1.5
  • Only data for MilitaryPlatformEntity sent
  • GPS time used for dead reckoning
  • Receive-order event processing
  • No time regulation
  • Best Effort

9
Testing Loads
  • Loading was increased by increasing the number of
    digital entities and their performance
    characteristics
  • 8 Trim had 4 entities on each LAN flying at trim
    condition
  • Next had 1 entity on each LAN performing high-G
    maneuver
  • Rest increased by 1 per side the number of
    entities performing high-G maneuver

10
Test
Thresholds Run Load Entities (deg,m,sec) Proto
col 1 8 trim 8
3,1,5 RTI 1.3 2 1v1 8
3,1,5 RTI 1.3 3 2v2 8
3,1,5 RTI 1.3 4 3v3 8 3,1,5 RTI
1.3 5 4v4 10 3,1,5 RTI
1.3 6 5v5 12 3,1,5 RTI
1.3 7 6v6 14 3,1,5 RTI
1.3 8 7v7 16 3,1,5 RTI
1.3 9 8v8 18 3,1,5 RTI
1.3 10 9v9 20 3,1,5 RTI
1.3 Table - Test
Matrix
11
Network Delay Measurements
SCRAMNet to Ethernet
Ethernet to SCRAMNet
Encore to SCRAMNet
SCRAMNet to Encore
12
Latency MeasurementsHLA vs. DIS vs. DIS-Lite
13

14
Latency MeasurementsHLA vs. DIS vs. DIS-Lite
15
Latency MeasurementsHLA vs. DIS vs. DIS-Lite
16.67
16
Bandwidth MeasurementsHLA vs. DIS vs. DIS-Lite
17
Packet MeasurementsHLA vs. DIS vs. DIS-Lite
18
Packet Efficiency
19
HLA Evaluation Results Summary
  • With Respect to NETS.
  • Ethernet packet inefficiencies
  • Higher bandwidth consumption for equivalent
    simulations
  • Higher Processing Overhead
  • Increases NIU latency
  • May limit number of highly-dynamic entities in a
    real-time simulation

20
HLA Lessons Learned
  • Ethernet ports for data traffic can be specified
    now in 1.3v2.
  • Recompilation went very smooth.
  • Version Transition was easy.
  • No data format of Ethernet packets on wire
    available
  • SNAP would have to be intrusive to the federation
    to capture attributes from Ethernet packets
  • It is desirable to have decoding functions

21
HLA Evaluation Summary
  • Learned how HLA impacts network simulations
  • Baselined performance of RTI 1.3v2
  • Identified areas which need improvement
  • Understand problems early so that research can
    have positive impact on the development of HLA
    for real time simulator applications

22
HLA Future
  • 1. We would like to repeat our experiment with
    the newer versions of HLA.
  • 2. We would like to measure under realistic
    simulations conditions.
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