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Type of Document Master's Thesis Author Adhikari, Akshay Arun, Author's Email Address aaadhika@unity.ncsu.edu URN etd-08062002-125435 Title Voice Over IP Performance Diagnosis Degree Master of Science Graduate Program Computer Networking Advisory Committee
Advisor Name Title Dr. Douglas S. Reeves Committee Chair Dr Wushow Chou Committee Member Dr. George N. Rouskas Committee Member Keywords
- SNMP
- Voice over IP
- self-similarity
- clock synchronization
Date of Defense 2002-08-05 Availability unrestricted Abstract We investigate a framework for assessing the readiness of a networkto support Voice over IP (VoIP) at the pre-deployment
stage. In this framework, VoIP traffic is synthesized on the network, while
simultaneously monitoring the health of network devices and links using the
Simple Network Management Protocol(SNMP). Using this framework, we try to
understand whether SNMP can be used to detect which network links or devices,
if any, cause poor VoIP quality.
First, we investigate the limitations of the end-to-end VoIP quality
measurement, and SNMP measurement framework used in lab experiments. We
quantify the errors in end-to-end VoIP quality measurements, and in SNMP
measurements, so that these errors can be taken into account depending on
the application at hand.
Next, we use our lab experiments to understand how VoIP performance
metrics like delay and loss are affected by offered load on a link. From
our initial experiments with faulty synthetic traffic generators, we find
that even at low utilization, bursty network traffic can significantly
degrade VoIP quality, and small timescale measurements, which are
impractical with SNMP, are required to detect the problems. However,
using realistic emulation of network traffic in the lab, we find that when
network problems are severe and last for long periods of time, they can be
easily detected using SNMP. We also present a case study of VoIP
assessment data collected from a real network, where we again
successfully used SNMP to detect the network links that caused poor quality
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