网络模拟器中QoS指标相互关系对评估视频流应用QoE的重要性

Nafi Ahmad, Abdul Wahab, J. Schormans
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引用次数: 6

摘要

现有的大多数关于服务质量(QoS)到体验质量(QoE)映射的研究都忽略了QoS指标之间的相关性。用于研究各种网络情况的网络仿真器(如NetEm)也有类似的局限性。NetEm无法模拟实际的长尾数据包延迟和QoS度量之间的相关性,这可能已经导致对QoS到QoE功能的怀疑。在本文中,我们分析了实时蜂窝QoS指标数据,并观察到几个QoS参数之间存在显著的相关性。我们使用它们为NetEm创建定制的分布,使用不同的统计方法,如最大似然估计和累积分布函数。这些分布被用来修改NetEm,以解决缺乏代表性的包等待时间分布的问题。此外,定制的分布还用于提供一种方法来模拟NetEm中相关的数据包延迟和丢失。然后使用这个定制的模拟器,使用PSNR、SSIM和VMAF客观评估技术,观察相关延迟损耗度量对视频流应用的最终用户QoE的影响。仿真结果表明,对于相同的丢包率(PLR),定制的仿真器比默认的NetEm配置提供了更好的QoE。在本文中,我们分析了实时蜂窝QoS指标数据,并观察到几个QoS参数之间存在显著的相关性。我们使用它们为NetEm创建定制的分布,使用不同的统计方法,如最大似然估计和累积分布函数。这些分布被用来修改NetEm,以解决缺乏代表性的包等待时间分布的问题。此外,定制的分布还用于提供一种方法来模拟NetEm中相关的数据包延迟和丢失。然后使用这个定制的模拟器,使用PSNR、SSIM和VMAF客观评估技术,观察相关延迟损耗度量对视频流应用的最终用户QoE的影响。仿真结果表明,对于相同的丢包率(PLR),定制的仿真器比默认的NetEm配置提供了更好的QoE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Importance of Cross-Correlation of QoS metrics in Network Emulators to Evaluate QoE of Video Streaming Applications
Most of the existing studies on mapping of Quality of Service (QoS) to Quality of Experience (QoE) ignores any correlation between the QoS metrics. Network emulators such as NetEm that are used to study various network situations, have similar limitations. NetEm's inability to emulate realistic long-tail packet latency and correlation between QoS metrics may have already resulted in doubtful QoS to QoE functions. In this paper, we analysed real-time cellular QoS metrics data, and observed that there is significant correlation between several QoS parameters. We used them to create bespoke distributions for NetEm using different statistical methods such as maximum likelihood estimation and cumulative distribution functions. These distributions were used to modify NetEm to address the lack of representative packet waiting-time distributions. In addition, the bespoke distributions were also used to provide a way to emulate correlated packet delay and loss in NetEm. This bespoke emulator was then used to observe the impact of correlated delay-loss metric on end user QoE of video streaming applications using PSNR, SSIM and VMAF objective evaluation techniques. The emulation results showed that bespoke emulator gives better QoE compared to default NetEm configuration for same Packet Loss Ratio (PLR). In this paper, we analysed real-time cellular QoS metrics data, and observed that there is significant correlation between several QoS parameters. We used them to create bespoke distributions for NetEm using different statistical methods such as maximum likelihood estimation and cumulative distribution functions. These distributions were used to modify NetEm to address the lack of representative packet waiting-time distributions. In addition, the bespoke distributions were also used to provide a way to emulate correlated packet delay and loss in NetEm. This bespoke emulator was then used to observe the impact of correlated delay-loss metric on end user QoE of video streaming applications using PSNR, SSIM and VMAF objective evaluation techniques. The emulation results showed that bespoke emulator gives better QoE compared to default NetEm configuration for same Packet Loss Ratio (PLR).
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