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An Internet Protocol Packet Delay Variation Estimator for Reliable Quality Assessment of Video-Streaming Services

机译:Internet协议数据包延迟变化估计器,用于可靠地评估视频流服务质量

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摘要

Measurement of Internet Protocol Packet Delay Variation (IPDV) is a relevant issue in real-time video-streaming services. To assess the Quality of Service (QoS) to the end user, IPDV measures are commonly compared to conventional thresholds, whose values depend on the application requirements. However, exceeding these thresholds only for short time intervals and with relatively low repetition rates does not generally imply a significant decrease of the quality perceived by the users. Vice versa, IPDV values not exceeding the admitted threshold but very close to this value for long time intervals and characterized by relatively high repetition rates can significantly affect the quality perceived by the users. Consequently, studying the correlation between IPDV measures and some performance metrics directly related to the quality perceived by the end user is a very useful and challenging issue. Literature concerning with IPDV evaluation does not provide relevant information about the measurement procedure, such as measurement rate, way of collecting the obtained results in a single estimator, time interval during which the estimator is evaluated, and so on. The absence of these important aspects makes the comparison between IPDV measures and the aforementioned thresholds very critical, thus making even more ambiguous the evaluation of the QoS to the end user. In this framework, the aim of this paper is twofold. From one side, it aims at experimentally assessing and correlating the values that some performance metrics assume at different layers of a wide area network (WAN) supporting video-streaming applications for several values of IPDV; from the other side, it aims at deducing helpful and practical hints for designers and technicians, in order to efficiently assess and enhance the performance of a WAN supporting video streaming, in some suitable setup conditions affected by IPDV. The final goal of the research activity is to identify and fine tune an IPDV estimator- able to reliably estimate and detect the objective service degradation from the user perspective. The obtained estimator should be sensitive to service degradation that disregards the user's expectations, and at the same time, it should be insensitive to disturbs that do not cause a perceptible service degradation.
机译:Internet协议数据包延迟变化(IPDV)的测量是实时视频流服务中的一个相关问题。为了评估最终用户的服务质量(QoS),通常将IPDV度量与常规阈值进行比较,后者的值取决于应用要求。但是,仅在短时间间隔内并以相对较低的重复率超过这些阈值通常并不意味着用户所感知的质量显着下降。反之亦然,IPDV值在长时间间隔内不超过允许阈值,但非常接近此值,并且具有相对较高的重复率,这可能会严重影响用户感知的质量。因此,研究IPDV度量与一些与最终用户感知的质量直接相关的性能度量之间的相关性是一个非常有用且具有挑战性的问题。与IPDV评估有关的文献没有提供有关测量过程的相关信息,例如测量速率,在单个估算器中收集获得的结果的方式,评估估算器的时间间隔等。这些重要方面的缺失使得IPDV措施与上述阈值之间的比较非常关键,从而使对最终用户的QoS评估更加模糊。在这种框架下,本文的目的是双重的。一方面,它旨在通过实验评估和关联一些性能指标在广域网(WAN)的不同层所假设的值,这些值支持针对IPDV多个值的视频流应用程序;另一方面,它旨在为设计人员和技术人员提供有用和实用的提示,以便在IPDV影响的某些合适设置条件下有效评估和增强支持视频流的WAN的性能。研究活动的最终目标是确定并微调IPDV估算器,以便从用户角度可靠地估算和检测目标服务质量下降。所获得的估计器应该对不顾用户期望的服务降级敏感,同时,对不引起明显服务降级的干扰不敏感。

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