SIP End-to-End Performance Metrics - PowerPoint PPT Presentation

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SIP End-to-End Performance Metrics

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Enterprise and SIP Service Provider confusion on 'How' ... Confusion around scope relevant to BMWG SIP tests. Confusion around draft home (e.g. IPPM, SIPPING, or BMWG) ... – PowerPoint PPT presentation

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Title: SIP End-to-End Performance Metrics


1
SIP End-to-End Performance Metrics
  • 70th IETF Conference
  • PMOL
  • Daryl Malas

2
Problem Statement
  • With widespread implementation of SIP the
    following problems have surfaced
  • No standard method for measuring SIP performance
  • Enterprise and SIP Service Provider confusion on
    How
  • Enterprise and SIP Service Provider confusion on
    Where to measure
  • Current reliance on PSTN (and other) metrics
  • Draft defines the How and the Where for
    common metrics applicable to ALL SIP applications.

3
Relevant Standards Dev
  • IETF
  • PMOL WG to develop standard to benchmark
    end-to-end SIP application performance
  • BMWG developing standard to benchmark SIP
    networking device performance
  • Other
  • SPEC developing industry-available test code for
    SIP benchmarking in accordance with IETFs BMWG
    and PMOL standards
  • ITU-T (Study Group 12) focused on detailed
    failure/success scenarios and end-to-end
    benchmark guidance

4
History
  • Introduced in SIPPING WG at 66th IETF conference
  • Confusion around scope relevant to BMWG SIP tests
  • Confusion around draft home (e.g. IPPM, SIPPING,
    or BMWG)
  • Draft did not fit within the charter of these
    groups
  • Unanimous SIPPING WG consensus of interest and to
    continue development of the draft
  • Updates and continual progress with draft
    requested from WG and ADs
  • Discussion of further updates and progress in
    SIPPING WG at 67th and 68th IETF conference
  • Draft still in search of home at 68th conference
  • Draft introduced in APM BOF at 69th IETF
    conference

5
Draft Discussion
  • Consensus on purpose and scope
  • Framework
  • Concept LCR (Least Cost Routing) and QBR
    (Quality Based Routing)

6
Example Metric - SER
  • Session Establishment Rate (SER)
  • Detect ability of a terminating UA or downstream
    proxy to successfully establish new sessions

7
Real World Application
  • Enterprise with multiple upstream SIP Service
    Providers (SSP)
  • SER SSP A 68
  • SER SSP B 87
  • What can the Enterprise do with this data?

8
Currently Defined Metrics
  • Registration Request Delay (RRD)
  • Detect failures or impairments causing delays in
    REGISTER requests
  • Session Request Delay (SRD)
  • Detect failures or impairments causing delays in
    new session requests
  • Session Disconnect Delay (SDD)
  • Detect failures or impairments causing delays in
    ending a session
  • Session Duration Time (SDT)
  • Detect problems (e.g. Poor audio quality) causing
    short sessions
  • Average Hops per Request (AHR)
  • Detect inefficient routing and failure conditions
    due to number of elements traversed

9
Currently Defined Metrics
  • Session Establishment Efficiency Rate (SEER)
  • Complements SER, but excludes potential effects
    of terminating UAS
  • Session Defects (SD)
  • Detect consistent failures in dialog processing
  • Ineffective Session Attempts (ISA)
  • Detect proxy or UA failures or congestion
    conditions causing setup requests
  • Session Disconnect Failures (SDF)
  • Detects when an active session is terminated due
    to a failure condition
  • Session Completion Rate (SCR)
  • Detects failures caused by downstream proxies not
    responding to new session setups
  • Session Success Rate (SSR)
  • Ratio of successful sessions compared with
    sessions failing due to ISA or SDF

10
Next Steps
  • Agreed upon set of metrics
  • Too many
  • Too few
  • Different Metrics
  • Concerns or Questions
  • Working Group Item?
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