Application Level Performamce of Multimedia Services

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Parag Pruthi, Dragos Ilie, Adrian Popescu
Title: Application Level Performamce of Multimedia Services
Conference name: The SPIE International Conference on Quality of Service Issues Related to Internet
Year: 1999
City: Boston, USA
Organization: Blekinge Institute of Technology
Department: Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling)
Department of Telecommunications and Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: Quality of Service (QoS) is a difficult term to define for multimedia applications. The main reason is that both audio and video quality are subjective and difficult to quantify. Much work has been done in the past to map the subjective quality of video and audio into measurable quantities. Unfortunately, when it comes to IP environments, not much experience and mathematical work exists that can be used to define robust metrics for measurement of QoS.

In this paper, we report on measurements of multimedia QoS and try to map subjective criteria to discrete measurables in terms of packet loss rates, packet delays, and other quantities. We report the results of measurements done at the application level and show how network characteristics affect the perceived quality of multimedia applications. In particular, we analyze the application traffic generated by MBone clients in a distributed network education scenario.

In order to measure the traffic, we have implemented software on a non-intrusive probe developed by NIKSUN INC.\footnote{} that can accurately monitor all traffic from a variety of networks. We have developed MBone aware software modules which can not only play back the recorded streams but also provide the essential statistics in real-time. We report in detail the results of our study of a particular end-to-end MBone session.
Subject: Computer Science\Networks and Communications
Telecommunications\Modelling of Bursty Traffics
Keywords: QoS, MBone, statistical analysis, stream identification