ABSTRACT

Monitoring is used in networks for analysis of services during the network traffic is
ongoing. Monitoring Quality of Experience (QOE) on the network will provide data about user
and network errors, frequently used services and user needs. By using user's data, the network
automatically changes the policies for users. In this research we use three computer networks by
using NetEm tool for QoE assessment in lab experiment in order to understand the behavior of
user on the network as service parameters change. Lab experiments provided the idea to the
researcher about monitoring QoE. During the research we analyzed different types of users
having different perception and satisfaction level on increase of packet delay and packet reorder.
These all things were in consideration at the time we proposed Enhanced Autonomic network
Management Architecture (ENAMA).
We propose quality of experience frameworks for multimedia services as well as for
network services for assessment of QoE for multimedia and network services. The proposed
models are useful for those users that have less information of computer technology. In these
frameworks we use agent technology for collecting objective QoE and QoS parameter in real
time. The facility has been provided for user feedback using subjective QoE web form. These
frameworks monitor, analyze, and generate reports and changes policies without intervention of
administrators.