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Understanding VoIP from Backbone Measurements

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Understanding VoIP from Backbone Measurements Marco Mellia, Dario Rossi Robert Birke, and Michele Petracca INFOCOM 07 , Anchorage, Alaska, USA – PowerPoint PPT presentation

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Title: Understanding VoIP from Backbone Measurements


1
Understanding VoIP from Backbone Measurements
  • Marco Mellia, Dario Rossi Robert Birke, and
    Michele Petracca
  • INFOCOM 07, Anchorage, Alaska, USA
  • Young J. Won
  • Oct. 15, 2007

2
Outline
  • Introduction
  • Measurement methodology
  • The FastWeb network
  • Measurement results
  • Conclusion

3
Introduction
  • VoIP has long been indicated as the technology
    that will trigger convergence.
  • Traffic monitoring and characterization have been
    seen as a key methodology to understand
    telecommunication technology and operation
  • This paper presents the first extended set of
    measurement results collected via passive
    monitoring of VoIP traffic

4
Measurement Methodology
  • Identification of RTP/RTCP over UDP flows
  • Measurement indexes
  • Call duration
  • Call round trip time
  • Flow packet loss probability
  • Flow jitter (Inter-Packet-Gap variation)
  • Flow equivalent mean opinion score (eMOS)
  • A computational model by ITU-T the predicts
    subjective quality of packetized voice.

5
Why?
  • Why we are interested in this?
  • Curiosity
  • Extracting basic parameter values for OPNET and
    later modeling
  • Basis for the theorical scenario analysis models

6
Identification of RTP/RTCP over UDP Flows
  • Conditions to Check
  • The version field must be set to 2
  • The payload type field must have an admissible
    value or the same SSCR (Synchronized Source
    Identifier)
  • The UDP port gt 1024 or the same payload type

7
The FastWeb Network
8
Measurement Summary
  • July 15, 2006 - 10 am to 2 pm (4 hr)
  • 240GB packet header
  • 150,000 phone calls, RTP and RTCP over UDP
  • Voice transport, G.711a Codec
  • Two 64kbps streams, 50 packets per sec
  • Packetization time is set to 20 ms
  • No per-class differentiation
  • The maximum values are observed between 10 am to
    2 pm
  • More than 1300 simultaneous calls per minute
  • Drops in lunch break and in the early afternoon

9
Measurement Results
  • Two probe nodes located in a PoP located in
    Turin, and a Gateway node located in Milan
  • Tstat was run on the probe to take live traffic
    measurements
  • Passive monitoring tool by the Politecnico di
    Torino
  • RTP/RTCP over UDP or tunneled TCP

10
HAG Distribution
  • Home Access Gateway (HAG)
  • Offers Ethernet ports to PCs, VideoBox, Plain Old
    Telephone

11
Number of Phone Calls Tracked
12
User-Centric Measurements (Call Duration)
  • User-Centric measurements
  • Average phone duration, 106s heavy-tailed
    distribution
  • Long (97s), Local (113s)
  • My observation Very similar to FLOW Lifetime
    measurement

13
eMOS CDF
  • eMOS
  • Excellent ( eMOSgt4 )
  • Good ( eMOS34 )
  • eMOS gt 3.6
  • The same quality as traditional PSTN phone calls

14
Network-Centric Measurements (RTT)
  • All measurements present RTT values smaller than
    200 ms for more than 97 of calls
  • RTT cannot be considered as a major impairment of
    VoIP call quality

15
Network-Centric Measurements (Jitter)
  • Jitter is traced smaller than 15ms
  • Inter-packet-gap is 20ms

16
Network-Centric Measurements (Packet Loss)
  • Average loss probability 2.8
  • The bottom picture showed that packet loss
    probability has little correlation with the
    actual network load

17
Conclusion
  • This paper presented an extensive measurement
    campaign focusing on VoIP traffic
    characterization
  • Use eMOS model to compare the quality of VoIP to
    traditional PSTN phone calls
  • In FastWeb, only the packet loss probability
    affected the quality of VoIP
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