Bitrate adaptation algorithms have received considerable attention recently. In order to evaluate these algorithms objectively, multiple DASH datasets have been proposed. However, only few of them are compatible to SVC-based adaptation algorithms. Apart from the dataset, to fully implement and evaluate an adaptation algorithm, many time-consuming steps are required such as MPD parser design, adaptation logic design and network environment setup. In this paper, a dash simulator which assesses the performance of SVC-based adaptation algorithms without the requirement of any additional implementation steps is proposed. Also, an SVC dataset that includes both CBR and VBR encoded videos is designed. Demonstration is performed as evaluation of an SVC-based adaptation algorithm under several throughput scenarios using the designed dataset. Results show that the proposed system considerably reduces time requirement compared to real-time assessment. Dataset, throughput generation tool and simulator are all publicly available so that the researchers can test their implementation and compare with the results presented in this paper.

比特率自适应算法最近受到了相当大的关注。为了客观地评估这些算法，提出了多个DASH数据集。但是，只有少数几个与基于SVC的自适应算法兼容。除了数据集之外，要完全实现和评估自适应算法，还需要许多耗时的步骤，例如MPD解析器设计，自适应逻辑设计和网络环境设置。在本文中，提出了一种仪表板模拟器，该仪表板模拟器无需任何其他实现步骤即可评估基于SVC的自适应算法的性能。此外，设计了一个既包含CBR又包含VBR编码视频的SVC数据集。使用设计的数据集，在几种吞吐量情况下，进行了演示，以评估基于SVC的自适应算法。结果表明，与实时评估相比，该系统大大减少了时间需求。数据集，吞吐量生成工具和模拟器都是公开可用的，因此研究人员可以测试其实现并与本文介绍的结果进行比较。