多媒体业务工作流的流数据速率预测模型

Peide Zhong, Chi-Hung Chi
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引用次数: 1

摘要

本文主要研究如何合理安排流数据速率,以提高工作流中多媒体业务的效率。我们首先关注基本模型,序列模型和并行模型,以涵盖问题的本质。其他类型的模型可以通过这两个模型的组合推导出来。基于排队理论,建立了视频流数据速率预测模型。我们的评估表明,该模型可以很好地预测多媒体流数据速率。这项工作很重要,因为有了这种预测,可以更好地分配系统资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Streaming Data Rate Prediction Model for Multimedia Service Workflow
In this paper, we address the problem of reasonably arranging the streaming data rate so as to exploit better efficiency of the multimedia services in a workflow. We first focus on the fundamental models, sequence model and parallel model, to cover the essence of the problem. Other types of models could then be deduced by compositions of these two models. Based on the queuing theory, we get the video streaming data rate prediction model. Our evaluations show that this model could predict multimedia streaming data rate very well. This work is important because with this prediction, better allocation of system resource can be done.
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