Internet%20Routing%20Dynamics%20and%20NSIS%20Related%20Considerations%20draft-shen-nsis-routing-00.txt - PowerPoint PPT Presentation

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Summary of Results from NSIS Perspective. NSIS-Concerned Route Changes ... inter-AS RC involving the first or last AS, intra-AS ingress RC in the first ... – PowerPoint PPT presentation

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Title: Internet%20Routing%20Dynamics%20and%20NSIS%20Related%20Considerations%20draft-shen-nsis-routing-00.txt


1
Internet Routing Dynamics and NSIS Related
Considerations draft-shen-nsis-routing-00.txt
  • Charles Shen, Henning Schulzrinne, Sung-Hyuck Lee
  • IETF61 Washington DC
  • November 2004

2
Outline
  • An Internet Routing Dynamics Measurement
  • Measurement Methodology
  • Summary of Results from NSIS Perspective
  • NSIS-Concerned Route Changes
  • Typical NSIS Deployment Models
  • Evaluation of Packet TTL Monitoring Route Change
    Detection
  • Conclusion and Next Step

3
Measurement Methodology
  • Traceroute end-to-end path characterization
  • 24 Public servers located in US, Iceland,
    Netherlands, Australia, Germany, Switzerland,
    Bulgaria, Sweden and Thailand.
  • Independent, exponential sampling interval
    15/30min per-site (2.75h/11.5h per-path)
  • Selected paths with 10min fixed interval
  • Between April and August 2004

4
Summary of Results (I)
  • Route Prevalence and Route Persistence
  • Paths strongly dominated by a single route
  • Significant site to site variation exists.
  • Adaptive approach for NSIS and routing
  • Different Types of Route Changes
  • Wide range of time / location scales
  • Majority with no change of total hop count
  • Route splitting and load balancing

5
Summary of Results (II)
  • Accuracy of Measuring Path Characteristics
  • 10-min fixed / 2-hour exponential interval
  • Both capture the same number of routes, AS-paths
    changes
  • The latter missed about half the number of
    routes, AS-paths and changes.
  • Essentially site-to-site variation adaptive
    mechanism eg. Refresh?
  • Impact of multi-homing
  • AS level route changes and asymmetric routing
  • An example
  • change of main outgoing ISP from month to month
  • but still occasionally use the previous ISP
    (10-30min)
  • No change of incoming ISP

6
NSIS-Concerned Route Changes
  • Generic route change
  • Inter-AS
  • Intra-AS Ingress-point, Egress-point, Mid-point
  • Deal with all generic route changes only in a
    full NSIS model
  • But a mixed NSIS deployment model more likely
  • NSIS-concerned route changes (NCRCs)
  • Involving change of NSIS entities in the path
  • Subsets of generic route changes

7
Typical NSIS Deployment Models
  • AS model
  • a central NE in each AS
  • NCRCs equivalent to inter-AS route changes (RCs)
  • Entry model
  • ingress routers of ASes are NEs
  • NCRCs - inter-AS and intra-AS ingress route
    changes
  • Border model
  • both ingress and egress routers of ASes are NEs
  • NCRCs inter-AS, intra-AS ingress and egress
    route changes
  • Edge model
  • access routers of src/dst sites are NEs.
  • NCRCs inter-AS RC involving the first or last
    AS, intra-AS ingress RC in the first AS, intra-AS
    egress RC in the last-AS.

8
TTL Monitoring Evaluation (I)
Description DS I DS II DS III
TTL-visible RCs 38 25 23
AS level RCs 18 8 8
TTL-visible AS level RCs 77 83 88
  • Overall TTL-visible RCs not so promising
  • Most concerned are non-trivial RCs
  • Pretty good for AS level changes

9
TTL Monitoring Evaluation (II)
NSIS Model DS I DS II DS III
AS Model 77 83 88
Entry Model 51 41 40
Border Model 45 39 38
Edge Model 74 90 92
  • TTL method more effective in these models
  • Ratio higher in sparser models
  • Generic mixed model falls between these results

10
Conclusions and Future Work
  • A recent end-to-end routing measurement
  • Different Route Changes require different
    handling
  • routing monitoring inside the network for
    frequent yet local route changes caused by route
    splitting or load balancing.
  • simple packet TTL monitoring reasonably good for
    NSIS-concerned route changes in typical NSIS
    deployment models.
  • More route change detection methods to be
    evaluated.
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