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VBR video traffic management using a predictor-based architecture

机译:使用基于预测器的架构的VBR视频流量管理

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The efficient transportation of real-time Variable Bit Rate (VBR) video traffic in the high-speed networks has been an area of active research. An important issue is the simplicity with which the bandwidht allocation and scheduling schemes can be executed onlin with realtime constraints in the future high-speed networks. The correlation properties of the VBR video traffic make the predictor-based online traffic adaptation techniques attractive. We developed a novel predictor-based dynamic bandwidth allocation (PDBA) scheme for short-term resource management and studied its queuing performance. In order to reduce the effects of the prediction errors on the queuing sytem and hence the underutilization of reserved bandwidth, a novel short-term controller (STC) that works at the cell-level has been introduced and the system has been called the PDBA-STC system. This online VBR video traffic prediction-based traffic management scheme has low complexity and is suitable for implementation in high-speed networks Ranganathan et al. [N. Ranganathan, R. Anand, G. Chiruvolu, AVLSI ATM architecture for VBR traffic, Proc. IEEE International Conference on VLSIDesign, 1998, pp.420-427] and has been demonstrated to provide better performance than other existing simple schemes. This paper also investigates the predictability of VBR video traffic that exhibits long-range dependence (LRD) based on a fractioanl ARIMA (1,d,0) model. The short-range dependent (SRD) Auto Regressive (AR) model for prediction of VBR video traffic has also been consdiered for evaluaiotn of the proposed dynamic bandwi
机译:在高速网络中有效传输实时可变比特率(VBR)视频流量一直是活跃的研究领域。一个重要的问题是带宽的分配和调度方案的简单性,可以在未来的高速网络中实时约束地执行。 VBR视频流量的相关属性使基于预测变量的在线流量自适应技术具有吸引力。我们开发了一种新颖的基于预测器的短期资源管理动态带宽分配(PDBA)方案,并研究了其排队性能。为了减少预测错误对排队系统的影响,从而减少对保留带宽的利用不足,我们引入了一种在小区级别上工作的新型短期控制器(STC),该系统称为PDBA- STC系统。这种基于在线VBR视频流量预测的流量管理方案具有较低的复杂度,适合在高速网络中实现。 [N. Ranganathan,R。Anand,G。Chiruvolu,针对VBR流量的AVLSI ATM体系结构,Proc。 IEEE VLSIDesign国际会议,1998年,第420-427页],并已被证明比其他现有的简单方案具有更好的性能。本文还研究了基于分形ARIMA(1,d,0)模型的VBR视频流量表现出长期依赖性(LRD)的可预测性。还已经考虑了用于VBR视频流量预测的短程相关(SRD)自回归(AR)模型,以评估所建议的动态带宽。

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