Performance Management: Key to IP Telephony Success
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1 Performance Management: Key to Telephony Success Alan Clark, President & CEO Telchemy, Incorporated
2 Vo Performance Management Voice, Video and other Real Time Applications Vo Performance Issues and Problems Managing through multiple domains Enterprise Vo Deployment Scenarios Measuring Vo Performance Emerging Vo Management Framework
3 Voice over Technology Network phone gateway CODEC PLC Digital POTS X Analog POTS Hybrid Phone/ Gateway Echo Canceller
4 Voice, Video and other Real Time Applications Voice over services.. deployment model Migration from isolated service islands to an integrated service Emerging real-time and near real-time services What does this mean from a performance management system perspective
5 Voice over service - deployment Vo is a common technology with many different deployment models Vo over Cellular Residential VoDSL Vo over WiFi PacketCable Managed Voice/Data Services Residential Overlay Services Hosted PBX -> Centrex Enterprise Telephony Carrier Backbone 2002 Today 2006
6 Voice over service - convergence Vo over Cellular Residential VoDSL Vo over WiFi PacketCable Managed Voice/Data Services Residential Overlay Services Hosted PBX -> Centrex Enterprise Telephony Common Vo Core Services Carrier Backbone 2002 Today 2006
7 Growing range of (near) real time services Voice Traditional telephone service, interactive voice Conference services Push-to-talk Video Videoconferencing Push-to-see Messaging IM
8 Performance management implications Voice over is a key application however moving forward need to consider wider range of real time apps Today s Vo scenarios are often isolated islands however tomorrow it will be necessary to manage across multiple networks
9 Vo Performance Issues and Problems Well Known Problems Packet Loss -- Leads to quality degradation Jitter -- Leads to packet loss (discards) Delay -- Causes conversational difficulty
10 Vo Performance Issues and Problems Well known problems Packet Loss -- Leads to quality degradation Jitter -- Leads to packet loss (discards) Delay -- Causes conversational difficulty Lesser Known Problems Packet loss and jitter are transient and can be hard to detect and diagnose Echo becomes more obvious due to the delay of Vo systems Clipping, echo and gaps in speech can be caused by incorrect configuration of gateways and phones Excessive delay or quality degradation can result from incorrect configuration of jitter buffers
11 Transient Problems root cause Short (1-2 second) periods of high jitter or packet loss Typically due to short term congestion Can occur even if QoS enabled Input queue in router overloaded Processor bandwidth in router Major problem on lower bandwidth links Teleworkers and branch offices
12 Transient Problems effect on call quality Delay Effect on Vo call quality -Appears as burst of 20-30% packet loss/ discard lasting 1-2 seconds -Brief degradation in call quality robotic/ distorted sound
13 Transient problems user reaction Good quality Recency Measured Call quality User Reported Call quality Poor quality Time (seconds)
14 Echo the other common Vo problem Echo gateway Network phone CODEC PLC X Analog POTS Gateway Echo Canceller Echo
15 Echo why? Echo is quite common on phone services, particularly with 2-4 wire transitions Pre-Vo, delay was short and hence echo sounded like sidetone Vo introduces extra delay, hence makes echo more obvious
16 Delay High levels of delay can make interactive conversation difficult Effects of delay are task dependant Delay can be caused by Network (transmission) delay Core network delay Serialization delay on slow access links Jitter buffers in receiving systems Encoding/decoding delays
17 Measuring Vo Performance Active Testing Generate test calls, measure characteristics Ideal for on-demand and pre-deployment testing Does generate additional network traffic Does not measure what happens to real calls Non-Intrusive Testing Measure characteristics of live calls Ideal for performance management and troubleshooting Does not generate additional network traffic Needs live calls to measure
18 Active testing phone Network gateway Active call (E Model, VQmon) Source Measure Active voice call (P.862/PESQ) Source Measure
19 Non-intrusive testing phone Network gateway Embedded monitoring (e.g. VQmon) Measure Measure based non-intrusive monitor (e.g. VQmon) based monitoring - Fast (0.01 MS/call) - Distributed - Can be embedded in phone/gateway Voice signal based non-intrusive monitor (e.g. P.563) Voice signal based monitoring - More expensive (100 MS/call) - Requires access to analog stream
20 Comparison Active and non-intrusive methods produce Call Quality scores R factor and MOS score Listening and Conversational quality metrics Diagnostic data Active tests report conditions As they were at the time of the test Between source and termination of test call Non-intrusive tests report conditions That affected a live call Between the source and the monitoring point
21 Servce Quality Monitoring with VQmon Widely used for both active and non-intrusive monitoring Extended E Model, incorporates a model of time varying call quality Measures distribution of lost and discarded packets, detects transient problems Can be integrated into phones/ gateways Core analysis function for Vo probes Ultra-fast, supports cost-effective monitoring of large volumes of calls
22 2004 Enterprise Telephony Scenario Phone Phone VPN Branch Office Central Location Switched 100BaseT, VLAN, GigE, etc.
23 2004 Hybrid PBX/ PSTN Gateway Scenario Phones Phone VPN Branch Office PSTN Analog Phones Central Location Introduces scope for a wider range of problems, i.e., echo, signal level
24 2004 Teleworkers and Distributed Call Centers? Phones Phone VPN Branch Office Teleworker PSTN Analog Phones Cable, DSL, T1 No/limited QoS Phone
25 2004 Inter-Enterprise Telephony Phone Phone VPN Customer/ Vendor PSTN Media Gateway Central Location Demarcation Points Media Gateway Phone
26 2005 Inter-Enterprise Telephony Phone Phone VPN Central Location Customer/ Vendor Vo traffic passes through 3-4 different networks -- Who owns the problem of making it work? Phone
27 2005 Vo over WiFi Interference Multipath IEEE b/a/g + e Handoffs Range Industry focus on quality; however, still somewhat uncertain what level of quality to expect but, WiFi s a hot technology, expect widespread deployment
28 Secure RTP More Secure, Less Manageable? SRTP Stream RTP RTP RTP RTCP RTP? Probes, analyzers and voice quality testers can t decode encrypted payloads
29 Secure RTP More Secure, Less Manageable? SRTP Stream RTCP RTP RTP RTP RTCP RTP Don t encrypt RTCP SR/RR/XR Probes, analyzers and voice quality testers can decode RTP headers and can make use of RTCP SR/RR/XR metrics
30 Where does this leave us? QoS controls, VLANs, prioritization can help Problems can still occur due to Access links to teleworkers, branch offices Core network issues and problems VoWiFi is an unknown quantity Interaction of Vo with analog networks Secure protocols make problem detection/ resolution difficult How to solve problems that span multiple networks? How to solve system level problems?
31 Vo Performance Management Framework Call Server and CDR database Network Management System Signaling Based QoS Reporting SNMP Vo Endpoint VQ Network Probe VQ VQ Vo Gateway Embedded Monitoring Media Path Reporting (RTCP XR) Embedded Monitoring
32 RTCP XR (RFC 3611) RFC 3611 Vo Metrics universal set of useful data for Vo performance reporting Packet metrics Loss, Discard, Burst and Gap data Delay metrics Round trip and end system delay Analog metrics Signal, noise and echo level Call quality metrics Configuration data
33 Monitoring Vo Performance Next generation Vo Probes Non-intrusively monitor Vo streams Produce per-call and interval based call quality metrics Detect transient problems and their impact on call quality Collect RTCP XR reports from endpoints Incorporate endpoint reported data into call quality metrics
34 Enterprise Application using New Framework VQ VQ Phones Phone VQ VQ Probe VQ VPN VQ Branch Office VQ Teleworker VQ Gateway NMS SLA Metrics Phone
35 Summary Voice over performance management faces the challenge of growing complexity.. more real time services spanning more networks problems are transient, time varying and hard to reproduce need real time performance monitoring Emerging performance management framework based on RTCP XR
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