Streaming media applications generate a sizable part of network traffic and represent a significant proportion of network providers' income. The commitment to user satisfaction can be summarized by different concepts, content providers emphasizing quality of experience (QoE), whereas network providers are more focused on quality of service (QoS). Measuring QoS parameters, and understanding the relationship between the two, is essential to enable network tuning for enhanced QoE. Analysis of actual streaming dynamics and detection of impairments require the ability to discriminate between audio and video packet flows. This paper presents results of a study supported by the use of nTH HighSee, a non-intrusive QoS monitoring tool, where approaches to video/audio detection have been investigated and tested.
Detection of Video/Audio Streaming Packet Flows for Non-Intrusive QoS/QoE Monitoring
NARDUZZI, CLAUDIO;GIORGI, GIADA
2017
Abstract
Streaming media applications generate a sizable part of network traffic and represent a significant proportion of network providers' income. The commitment to user satisfaction can be summarized by different concepts, content providers emphasizing quality of experience (QoE), whereas network providers are more focused on quality of service (QoS). Measuring QoS parameters, and understanding the relationship between the two, is essential to enable network tuning for enhanced QoE. Analysis of actual streaming dynamics and detection of impairments require the ability to discriminate between audio and video packet flows. This paper presents results of a study supported by the use of nTH HighSee, a non-intrusive QoS monitoring tool, where approaches to video/audio detection have been investigated and tested.Pubblicazioni consigliate
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