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Quality Assurance is focused on guaranteeing minimum performance and service disruption to the subscriber. A further challenge of quality assurance in IP networking is to reduce the OPEX costs in the last mile, where the majority of technical issues are reported.
In the case of live broadcast of TV over IP, prevention is certainly better than cure. Shenick’s servicEye solutions provide an early warning mechanism, detecting the degrading service performance. Highlighting issues at an early stage offsets the expense of complete service failure.
For subscribers of multi-services, which include voice and data it’s not easy to troubleshoot or pinpoint from a networked point where the issue lies. To overcome this in the past a trained engineer was deployed to the customer premise. servicEye Spider eliminates the need for these expensive truck rolls. servicEye Spider is a software client that can be used in the subscriber premise to test video, voice and data quality.
IPTV delivers real-time detail with continuously changing content. It’s essential that IPTV quality assurance is real time. A real time passive approach must also be backed up by a proactive test approach. A proactive test will encompass everything from registration, authentication, authorization, right through to the quality of the content being delivered.
Test traffic injection should be considered as part of a quality assurance strategy, especially at quality sensitive junctures. This enables Service Providers determine issues in advance of the end user, when specific traffic scenarios occur, including security attacks such as DDoS.
When new multiplay services such as IPTV, VoD, VoIP or bandwidth intensive Web applications such as streaming over the top video are introduced, this increases the pressure to deliver a high level of customer QoE. Pre-deployment testing is equally important as this provides Service Providers with useful knowledge in terms of QoE metrics such as Video quality, IPTV Channel zap times, VoD response times, Voice call quality, call connection times, web page download times etc.