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Enabling Multimedia QoS Control with Black-Box Modelling

机译:通过黑匣子建模实现多媒体QoS控制

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摘要

Quality of Service (QoS) methods aim at trading quality against resource requirements to meet the constraints dictated by the application functionality and the execution platform. QoS is relevant in multimedia tasks since these applications are typically scalable systems. To exploit the scalability property for improving quality, a reliable model of the relation between scalable parameters and quality/resources is required. The traditional QoS approach requires a deep knowledge of the execution platform and a reasonably accurate prediction of the expected configurations. This paper proposes an alternative black-box data analysis approach. The advantage is that it requires no a priori assumptions about the correlation between quality/resources and parameters and it can easily adapt to situations of high complexity, changing platforms and heterogeneous environments. Some preliminary experiments with the QoS modelling of the Visual Texture Coding (VTC) functionality of a MPEG-4 decoder using a local learning technique are presented to support the claim.
机译:服务质量(QoS)方法旨在根据资源需求来交换质量,以满足应用程序功能和执行平台所规定的约束。 QoS与多媒体任务相关,因为这些应用程序通常是可伸缩的系统。为了利用可伸缩性属性来改善质量,需要可伸缩参数与质量/资源之间的关系的可靠模型。传统的QoS方法需要对执行平台有深入的了解,并需要对预期配置进行合理准确的预测。本文提出了另一种黑盒数据分析方法。优点在于,它不需要关于质量/资源和参数之间的相关性的先验假设,并且可以轻松地适应高复杂性,不断变化的平台和异构环境的情况。提出了一些使用本地学习技术对MPEG-4解码器的视觉纹理编码(VTC)功能进行QoS建模的初步实验,以支持这一主张。

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