Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring

Abstract

Increasing and variable traffic demands due to triple play services pose significant Internet Protocol Television (IPTV) resource management challenges for service providers. Managing subscriber expectations via consolidated IPTV quality reporting will play a crucial role in guaranteeing return-on-investment for players in the increasingly competitive IPTV delivery ecosystem. We propose a fault diagnosis and problem isolation solution that addresses the IPTV monitoring challenge and recommends problem-specific remedial action. IPTV delivery-specific metrics are collected at various points in the delivery topology, the residential gateway and the Digital Subscriber Line Access Multiplexer (DSLAM) through to the video Head-End. They are then pre-processed using new metric rules. A semantic uplift engine takes these raw metric logs; it then transforms them into World Wide Web Consortium (W3C)'s standard Resource Description Framework (RDF) for knowledge representation and annotates them with expert knowledge from the IPTV domain. This system is then integrated with a monitoring visualization framework that displays monitoring events, alarms, and recommends solutions. A suite of IPTV fault scenarios is presented and used to evaluate the feasibility of the solution. We demonstrate that professional service providers can provide timely reports on the quality of IPTV service delivery using this system.Neither the entire paper nor any part of its content has been published or has been accepted for publication elsewhere. It has not been submitted to any other journal.

DAPP: A Delay-Aware Packet Prioritisation scheme for VoIP in wireless multi-hop networks

“…E-Model produces a scalar in a range from 0 to 100 called the Transmission Rating Factor (R), which is computed as described in [12,13]. However, the Mean Opinion Score (MOS) value is more commonly used by researchers [14,15] for assessing VoIP quality and its values are in a range from 1 to 5. Traditionally, the MOS values are obtained by subjective testing.…”

A Predictive Approach for Managing Network Port Resources of Service Providers

“…Clustering [7] and factor analysis [8] approaches are also utilized using real network datasets to observe the behaviour of network resources within Mobile Network Operators (MNOs). With respect to DSLAM based research, different DSLAM metrics are monitored in [9] to provide high quality IPTV delivery service. Broadband network markers including DSLAM port mismatches are used with fault detection and localization algorithms to predict failures in [10].…”

iMOS: Enabling VoIP QoS Monitoring at Intermediate Nodes in an OpenFlow SDN

“…Comprehensive experimentation was undertaken to validate the new functionality. This work builds on our previous experience in the area of intermediate VoIP monitoring [2], advanced QoE metrics for IPTV [4], and assuring high Quality of Experience (QoE) in an IP Television (IPTV) network using an OpenFlow SDN [5], [6].…”