Optimized network utilisation through buffering in PCN enabled multimedia access networks

Klaas Roobroeck, Steven Latré, T. Wauters, F. Turck
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引用次数: 4

Abstract

With the advent of novel services such as IPTV and videoconferencing broadband DSL networks are facing enormous challenges. These services have strict QoS demands in terms of packet loss, jitter and delay. In an effort to meet these demands, operators introduced centralized admission control mechanisms to avoid congestion when too many session were allowed. These centralized approaches often fail to effectively manage the available resources mainly because of the bursty nature of multimedia traffic. When transmitting variable bit rate videos resources are reserved based on the peak rate of the video. This leads to under-utilisation of the network. Measurement based admission control mechanism have been proposed such as the IETF Pre-Congestion Notification (PCN) to allow better network utilisation. Each node in the PCN domain measures the network load and admits or blocks accordingly sessions at the edges of the network. Previous research proposed bandwidth metering and an autonomic rate adaptation algorithm which led to a better utilisation of the network but still introduced unnecessary bandwidth headroom caused by the variable bit rate of videos. In this paper, we propose an additional buffering step before traffic enters the PCN domain and determine configuration guidelines for the parameters. The performance of this buffering step has been evaluated in an NS - 2 based simulator environment. The conducted tests show a 26.5% increase of network utilisation.
在支持PCN的多媒体接入网络中通过缓冲优化网络利用率
随着IPTV和视频会议等新型业务的出现,宽带DSL网络面临着巨大的挑战。这些业务在丢包、抖动和延迟方面有严格的QoS要求。为了满足这些需求,运营商引入了集中的准入控制机制,以避免在允许过多会话时出现拥塞。这些集中的方法往往不能有效地管理可用资源,主要是因为多媒体业务的突发性。在传输可变比特率时,根据视频的峰值速率预留视频资源。这导致网络利用率不足。基于测量的准入控制机制已被提出,如IETF预拥塞通知(PCN),以允许更好地利用网络。PCN域内的每个节点测量网络负载,并相应地允许或阻止网络边缘的会话。先前的研究提出了带宽计量和自主速率自适应算法,可以更好地利用网络,但由于视频的可变比特率,仍然引入了不必要的带宽剩余空间。在本文中,我们在流量进入PCN域之前提出了一个额外的缓冲步骤,并确定了参数的配置准则。在基于NS - 2的仿真环境中对该缓冲步骤的性能进行了评估。所进行的测试表明,网络利用率提高了26.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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