An Integrated Quality Assessment for IPTV Operation and Maintenance

Xin Wei, Zhifeng Wu, Liang Zhou, Zhenjiang Dong

Abstract: This paper proposes a novel quality assessment scheme for IPTV operation and maintenance. It is an integrated system to make the IPTV network fault location diagnosis more efficiently and accurately. Specifically, the potential user complaint and potential warning facility are integrated for constructing the IPTV service quality assessment system. When handling the determination of the potential warning facility, objective Quality of Experience (QoE) indicators reflecting users' viewing behaviors are considered and integrated with traditional Quality of Service (QoS) indicators. Based on this, a novel feature selection algorithm is proposed for replacing existing ones in decision tree generation and pruning, efficiently and feasibly realizing faulted equipment prediction. Experimental results show that the prediction accuracy for faulted equipments can be further enhanced when compared with existing algorithms.