000			01880nam a22001337a 4500
999			_c55909 _d55906
100			_aLagari, Asif Ali _aSupervisor Prof. Dr. Muhammad Ibrahim Channa
245			_aMonitoring Quality Of Experience (QoE) In Autonomic Networks (MS Theses)
260			_aNawabshsh: _bQUEST, _c2013.
300			_a58p, :
500			_aABSTRACT 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.
700			_aDepartment of Information Technology
856			_uhttps://tinyurl.com/w3neyta4
942			_cTHESIS