Abstract
Network Quality of Service (QoS) assessment plays an important role in managing network resources and ensuring that various applications receive an appropriate prioritisation or sufficient resources. Therefore, developing a portable hand-held device that accurately assesses QoS for different applications is very valuable. In this study, a QoS monitoring system was designed and evaluated. The QoS assessment was based on regression modelling that was implemented on the MCB2300 KEIL ARM microcontroller board. The system analysed the QoS requirements (delay, jitter andpacket loss ratio) of multimedia applications to determine their overall QoS. The QoS assessment results were compared with other assessment methods (e.g. Fuzzy Inference System and Neural Network based QoS monitoring). The study indicated the effectiveness of the developed system in monitoring multimedia QoS accurately.
Highlights
The growth in multimedia networks has led to the need for finding efficient ways to monitor Quality of Service (QoS) accurately
QoS can be achieved by either (i) prioritising time sensitive applications over time insensitive applications, or (ii) reserving network resources for the time sensitive applications prior to their transmission
After the traffic was configured and the network topology was simulated, the QoS parameters of VoIP were extracted from the generated trace files of the simulated network
Summary
The growth in multimedia networks has led to the need for finding efficient ways to monitor Quality of Service (QoS) accurately. QoS can be achieved by either (i) prioritising time sensitive applications (such as video conferencing and voice over internet protocol) over time insensitive applications (such as file transfer), or (ii) reserving network resources (such as bandwidth) for the time sensitive applications prior to their transmission. The contribution of this paper is the implementation of the regression modelling to assess QoS that was reported in [2] on the MCB2300 KEIL ARM microcontroller board.
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