首页> 外文会议>International Symposium on Computer and Information Sciences(ISCIS 2005); 20051026-28; Istanbul(TR) >Aggressive Back off Strategy in Congestion Management Algorithm for DBS-RCS - (Invited Paper)
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Aggressive Back off Strategy in Congestion Management Algorithm for DBS-RCS - (Invited Paper)

机译:DBS-RCS的拥塞管理算法中的激进退避策略-(邀请论文)

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This paper investigates an aggressive back off strategy as part of the congestion management algorithms developed for Direct Broadcast Satellites with Return Channel Systems (DBS-RCS). The satellite architecture considered in this work is based on an asymmetric architecture with the high capacity forward link provided by the DBS and low speed return channel is provided by a constellation of Low Earth Orbiting (LEO) satellites. The network carries both Moving Pictures Expert Group (MPEG) coded video traffic and other data traffic having available bit rates (ABR) which is based on Reliable DBS Multicast Protocol (RDMP). Due to overwhelming complexity of real DBS-RCS systems, unless unduly simplifications are made, an exact analysis of this system becomes impossible. Therefore, we rely on the testbed results for investigation of the proposed aggressive back off strategy. In this paper, we first present a brief background on adaptive resource allocation and management (ARAM) system developed in our earlier work. Then, we provide the proof of concept experiments for the newly introduced aggressive back off strategy. We show that the distributed control provided by the watermarks provides performance comparable to the baseline ARAM model. We also show that an aggressive back off strategy should be used for increased QoS.
机译:本文研究了一种积极的退避策略,将其作为为带有返回信道系统的直接广播卫星(DBS-RCS)开发的拥塞管理算法的一部分。在这项工作中考虑的卫星体系结构是基于非对称体系结构的,该体系结构由DBS提供高容量前向链路,而低速回波信道则由低地球轨道(LEO)卫星群提供。该网络既承载运动图像专家组(MPEG)编码的视频流量,又承载基于可靠DBS组播协议(RDMP)的具有可用比特率(ABR)的其他数据流量。由于实际DBS-RCS系统的压倒性的复杂性,除非进行了不当的简化,否则无法对该系统进行精确的分析。因此,我们依靠测试平台的结果对拟议的主动退缩策略进行调查。在本文中,我们首先简要介绍在我们早期工作中开发的自适应资源分配和管理(ARAM)系统。然后,我们为新引入的主动退缩策略提供了概念验证实验。我们表明,由水印提供的分布式控件可提供与基准ARAM模型相当的性能。我们还表明,应使用积极的退避策略来提高QoS。

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