A method and device for measuring user quality of experience qoe

Abstract

The invention discloses a method for measuring user quality of experience (QoE), which includes the following steps: receiving event information sent by a receiving end, the event information including the reason for determining the insufficient effective media data in the buffer of the receiving end According to the condition information, it is judged whether the lack of effective media data in the cache of the receiving end is caused by the service system or the behavior of the user according to the condition information; according to different reasons that cause the shortage of effective media data in the cache, the QoE decline is measured respectively Degree. In the method for measuring QoE provided by the embodiment of the present invention, the insufficient effective media data in the buffer of the receiving end caused by service system problems is distinguished from the insufficient effective media data in the buffer of the receiving end caused by user behavior, and the effective media data in the buffer caused by the insufficient Different reasons for insufficient data are used to measure the decline degree of QoE, so that the measurement of QoE is more accurate and more objective, so that network resources can be used reasonably.

Description

technical field [0001] The invention relates to the field of network management, in particular to a method and device for measuring user experience quality (QoE). Background technique [0002] In network applications, network providers and service providers are often concerned about the service quality of IPTV (Internet Protocol Television, Internet Protocol Television) watched by users. Traditional Quality of Service (QoS) parameters cannot directly reflect user experience. It can more directly express the user's experience effect on the IPTV service, and the Quality of Experience (QoE) parameter came into being. QoE can be understood as user experience or user perception, that is, the subjective feeling of the end user on the service performance provided by the network. It can express the end user's experience and feelings on the service and network through a method close to quantification, and reflect the gap between the current service and network quality and user expect...

AI Technical Summary

Problems solved by technology

But in fact, the re-buffering of the receiving end may also be caused by user operations. For example, during the media presentation / watching process, the user actively drags and causes the receiving end to send event information. Sending event information is unpredictable and indistinguishable to the QoE monitoring server. However, in the prior art, the QoE server will use the same The QoE measurement method is used to measure the change rate of QoE, and the corresponding QoS adjustment is started according to the change rate of QoE to improve the quality of the network server. However, the network QoS does not decrease when re-buffering is caused by user dragging. At this time, The start of the QoS adjustment strategy will occupy more network resources to a certain extent, thereby increasing the burden on the network and causing unreasonable utilization of resources

In addition, in the existing technology, as long as the QoS drops, it is considered that the QoE will inevitably drop, so that the QoS adjustment will be started immediately. When there is a small drop in QoE caused by occasional jitter or data delay in the network, the QoS adjustment will also be started. As a result, QoS adjustment is not flexible, resulting in unreasonable utilization of network resources

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