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Enhancing Network Performance with Quality of Service-Based Routing

Learn how QoS Routing can optimize network performance, discussing routing policies, protocol overhead, performance analysis, & processing cost. Explore improvements like randomization & hybrid solutions for stability & performance enhancement.

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Enhancing Network Performance with Quality of Service-Based Routing

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Presentation Transcript

  1. Quality of Service Based Routing Ziv Kedem

  2. Introduction • QoS Routing can improve network performance • The price is an increase in protocol and computational complexity • Stale link information can degrade network performance

  3. QoS Routing Free Busy Very Busy

  4. Stale Link Information

  5. Topics of Discussion • Different routing policies • Protocol overhead • Performance analysis • Processing cost • Improvements

  6. Different Routing Policies • Static / dynamic routing • Clamp-down timer • Quantization of values • Pruning / no pruning

  7. Protocol Overhead • Large value of clamp-down timer can decrease overhead • Overhead can be similar to OSPF • Quantization has little effect on the number of updates

  8. Protocol Overhead

  9. Performance Analysis • Large values of clamp-down timer • Comparison with static QoS routing • Non-pruning policies are more stable • Quantization introduces ties

  10. Performance Analysis

  11. Improvements • Randomization • Depends on length and width • Useful in hot-spot traffic • Hybrid solution • Long lived flows are more stable • No need for explicit flow request

  12. Randomization

  13. Improvements • Randomization • Depends on length and width • Useful in hot-spot traffic • Hybrid solution • Long lived flows are more stable • No need for explicit flow request

  14. Hybrid Solution

  15. Processing Cost • Calculation for each flow request is expensive • Pre-computation • Periodic • On each update

  16. Processing Cost

  17. Conclusions • QoS routing can improve network performance • Large clamp down timer is necessary • Stale link information requires use of stable policies • Randomization / hybrid solutions can improve performance

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