Notes
Slide Show
Outline
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Using Simulation to Evaluate
Traffic Engineering Management
Services in Maritime Networks






David Kidston and Thomas Kunz

October 25th, 2006
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Presentation Overview
  • A Definition of Maritime Networks
  • Motivation
  • The Maritime Model
  • The Management Services
  • Results
  • Conclusions and Future Work
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Maritime Network Characteristics
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Motivation
  • Since maritime units operate in a low bandwidth environment with varying communications capabilities the efficient use of bandwidth and effective exchange of information is essential
  • While different applications are converged onto a single network they do not all have the same value. Traffic engineering (TE) can be used to ensure that critical information is delivered before less urgent traffic.
  • In order to evaluate potential TE services in maritime networks, modeling provides a low cost alternative to implementation.
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Maritime Model - Topology
  • Small Network
    • The connectivity of the small network model showing all the wireless links is shown
    • Based on the description of a single naval task group on patrol
  • Large Network
    • A straightforward extension of the small network, except with two naval task groups
    • The second task group has two high speed satellite links instead of one


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Maritime Model – Mobility Model
  • Intra-task force mobility
    • Based on the Nomadic Community model where the individual nodes of each task group move randomly within 3 nm of their base position
    • Links fail when they exceed 18 nm.
  • Inter-task force mobility
    • The two task groups begin 18 nm away from each other (at the closest point) and at a random arrival angle.
    • The first task group then approaches the other steadily at a relative speed of 30 knots (nm/hour) on a set heading evenly distributed from this trajectory angle of -45° to +45°
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Maritime Model – Traffic Model
  • The nominal load model was made to match as closely as possible the background traffic seen during a maritime exercise (“in” is towards the maritime node)
  • The high load model is based on the assumption of increased traffic at times of increased activity.
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Management Services
  • Traffic Monitoring Service (TMS)
    • Designed to measure the incoming and outgoing traffic of a node and distribute this information in summary form to all other nodes (at a varying level of detail)
  • Traffic Prioritisation Service (TPS)
    • Provides a mechanism to rank traffic by importance and prioritise resource allocation accordingly using DiffServ
  • Adaptive Routing Service (ARS)
    • Provides load balancing and matches application traffic classes to network resources, determining what types of traffic must/should travel over a certain type of bearer
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Results (TMS)
  • Based on the topology, mobility and background traffic described the TMS was simulated in OPNET
  • The effect of increased load is readily apparent in maritime networks, with the TMS delay almost doubling from nominal to high background traffic
  • Enhanced and detailed modes have a long delay which may be acceptable if the information is not being used interactively
  • Unlikely to be sufficient for problem solving purposes


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Results (TPS)
  • Use of the DiffServ weights shown gave a significant improvement in the TMS delay.
    • Improvement of approximately 20% at saturation and
      approximately 33% at high load were seen.
  • This confirms that DiffServ-style QoS can make a significant improvement to prioritized flows in the Maritime environment.
  • Further studies in OPNET could be completed to determine the impact of alternative WFQ weightings.
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Results (ARS)
  • Without TPS or ARS, the delay of two voice calls from the NOC were both 1.4 +/- 0.3 seconds at high load, far less than an generally accepted maximum of 500 ms.
  • In order to improve utilization of the network, an MPLS overlay was introduced to allow traffic travelling to Ship 4 to take different routes depending on the application type and priority.
    • In this case high priority voice traffic was to travel via Ship 3 while all other traffic will travel over the default route via Ship 1.
  • With the combination of TPS and ARS, the impact on the delay of voice packets is significant.
    • The high-priority voice call which is taking the alternate lightly loaded route via Ship 3 has a delay of 0.19 +/- 0.03 seconds while the lower priority voice call which uses the default route has a delay of 0.43 +/- 0.10 seconds.
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Conclusions and Future Work
  • Management services were shown to provide concrete improvements
    • TMS – Monitoring service with variable overhead and delay
    • TPS – Prioritisation service gives 20-33% improvement
    • ARS – Adaptive routing provides load balancing
  • Simulation provides low cost alternative to real-time deployment and testing
    • Results are only as good as the model
  • Currently using maritime model to investigate guaranteed reservation service