Specifications

© 2006 Cisco Systems, Inc.
All rights reserved.
Introduction 1-29
NAM / Traffic Analyzer v3.5 Tutorial
© 2006 Cisco Systems, Inc. All rights reserved.
Introduction 1-29
NAM / Traffic Analyzer v3.5 Tutorial
Traffic Analyzer Software
Voice Monitoring
Traffic Analyzer Software
Voice Monitoring
Voice Monitoring Features
- Identify call quality degradation
o Packet loss statistics report
o Jitter statistics report
- Track active call attributes
o Call Details report
- Details for individual phones
- Protocols monitored (SCCP, H.323, MGCP,
SIP, and RTP streams)
Monitoring Techniques
• RMON1 and 2 -
Distribution of Voice /
Video protocols
• Application Response-Time (ART) -
Measure Cisco CallManager response times
• Differentiated Services (DSMON) -
Monitoring voice/video traffic by DSCP values
Example of
SCCP call
details
Example of
SCCP call
details
Voice Monitoring
Integrating voice applications into a packet switched environment brings many challenges with it. As
indicated earlier, voice traffic is more sensitive to variations in the delay of packet delivery and packet loss if
there is significant loss. Measuring these values, packet loss and jitter, as well as visibility into the
performance of your voice services is essential because users will expect the same QoS from your voice-
over-IP (VoIP) services as they receive from legacy telephony systems.
The NAM offers a wealth of data collection and analysis features to support VoIP services. Via the NAM Web
interface, you can monitor active call attributes and drill down into the details of individual call records. The
NAM also supports reporting on packet loss and jitter statistics for all calls, as well as for individual calls to
facilitate troubleshooting. You can also configure alarms for voice traffic to generate messages when jitter
and packet loss levels exceed acceptable thresholds, enabling you to proactively resolve service issues
before they escalate.
Using the NAM, you can also take advantage of RMON and RMON2 statistics to gather voice protocol
distribution statistics to identify VoIP utilization patterns. And you can use ART monitoring to measure the
performance of the Cisco CallManager. You can also use DSMON templates to create voice profiles to
monitor voice traffic for QoS violations or to ensure that voice traffic is receiving the appropriate priority you
have defined for it. Using packet loss and jitter statistics along with RMON protocols statistics, application
response-time monitoring, and QoS reporting gives you a powerful dataset for determining voice services
trends and anticipating the infrastructure changes that will be necessary to support increased demand in
voice services.