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Carriergrade vs. Internet VoIP

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Network outages. sustained packet losses. arbitrarily defined at 8 packets ... 2,566 have at least one outage. 946 of 2,566 expected to be dropped 1.53% of all calls ... – PowerPoint PPT presentation

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Title: Carriergrade vs. Internet VoIP


1
Carrier-grade vs. Internet VoIP
  • Henning Schulzrinne
  • (with Wenyu Jiang)
  • Columbia University
  • FCC Technical Advisory Council III
  • Washington, DC October 20, 2003

2
Overview
  • Previous talk interactive communication services
  • signaling media
  • Now focus on overall architecture
  • network service availability
  • signaling services SIP, H.323
  • supporting services DNS, DHCP, LDAP,
  • network transport
  • network quality-of-service
  • packet loss, delay, jitter

3
Overview
  • (on-going work, preliminary results, still
    looking for measurement sites, )
  • Service availability
  • Measurement setup
  • Measurement results
  • call success probability
  • overall network loss
  • network outages
  • outage induced call abortion probability

4
Service availability
  • Users do not care about QoS
  • at least not about packet loss, jitter, delay
  • rather, its service availability ? how likely is
    it that I can place a call and not get
    interrupted?
  • availability MTBF / (MTBF MTTR)
  • MTBF mean time between failures
  • MTTR mean time to repair
  • availability successful calls / first call
    attempts
  • equipment availability 99.999 (5 nines) ? 5
    minutes/year
  • ATT (2003)
  • Sprint IP frame relay SLA 99.5

5
Availability PSTN metrics
  • PSTN metrics (Worldbank study)
  • fault rate
  • should be less than 0.2 per main line
  • fault clearance ( MTTR)
  • next business day
  • call completion rate
  • during network busy hour
  • varies from about 60 - 75
  • dial tone delay

6
Example PSTN statistics
Source Worldbank
7
Measurement setup
8
Measurement setup
  • Active measurements
  • call duration 3 or 7 minutes
  • UDP packets
  • 36 bytes alternating with 72 bytes (FEC)
  • 40 ms spacing
  • September 10 to December 6, 2002
  • 13,500 call hours

9
Call success probability
  • 62,027 calls succeeded, 292 failed ? 99.53
    availability
  • roughly constant across I2, I2, commercial ISPs

10
Overall network loss
  • PSTN once connected, call usually of good
    quality
  • exception mobile phones
  • compute periods of time below loss threshold
  • 5 causes degradation for many codecs
  • others acceptable till 20

11
Network outages
  • sustained packet losses
  • arbitrarily defined at 8 packets
  • far beyond any recoverable loss (FEC,
    interpolation)
  • 23 outages
  • make up significant part of 0.25 unavailability
  • symmetric A?B ?? B?A?
  • spatially correlated A?B ? ? A?X?
  • not correlated across networks (e.g., I2 and
    commercial)

12
Network outages
13
Network outages
14
Outage-induced call abortion probability
  • Long interruption ? user likely to abandon call
  • from E.855 survey Pholding e-t/17.26 (t in
    seconds)
  • ? half the users will abandon call after 12s
  • 2,566 have at least one outage
  • 946 of 2,566 expected to be dropped ? 1.53 of
    all calls

15
Conclusions from measurement
  • Availability in space is (mostly) solved ?
    availability in time restricts usability for new
    applications
  • initial investigation into service availability
    for VoIP
  • need to define metrics for, say, web access
  • unify packet loss and no Internet dial tone
  • far less than 5 nines
  • working on identifying fault sources and
    locations
  • looking for additional measurement sites

16
Whats next?
  • Existing SLAs are mostly useless
  • too many exceptions
  • wrong time scales month vs. minutes
  • no guarantees for interconnects
  • Existing measurements similarly dubious
  • Limited ability to learn from mistakes
  • what are the primary causes of service
    unavailability?
  • what can I do to protect myself multi-homing
    via same fiber? diverse access mechanisms?
  • Consumers of services have no good ways to
    compare service availability
  • only some very large customers may get access to
    carrier-internal data
  • Thus, market failure
  • Need published metrics
  • similar to switch availability reporting
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