【24h】

QoS guarantees for long-range dependent traffic

机译:QoS保证远程相关流量

获取原文
获取外文期刊封面目录资料

摘要

In this paper we study resource management on self-similar traffic to guarantee QoS. At first, we investigate a local ATM network. Then a queuing process with the real ATM network traffic is established to explore the tail distribution under different conditions. We have found the following results: 1. The long-range dependent correlations are the dominate factors of the queuing performance. When the long-range dependent relation is broken, the tail length reduces very obviously, whereas the queuing performance is almost the same though the short-range dependent relation is broken. 2. The more buffer solution is not practical because the queue-length distribution of self-similar traffic is too long to be handled purely by more buffer solution. However, it can be potentially accompanied with large delay penalty. 3. The more capacity solution can reduce the queuing tail efficiently. To guarantee QoS for the long range dependent traffic, more capacity method proves to be effective. 4. Multiplexing is another solution to reduce the queuing tail length, especially at high Hurst parameter. In order to achieve good QoS on self-similar traffic, enough bandwidth and multiplexing are the suitable solutions. A simple call admission control scheme, which can achieve high utilization and sustain in the same time a relatively good QoS Guarantee, is proposed. The scheme takes the advantage of both the multiplexing and enough bandwidth allocation to guarantee QoS.
机译:在本文中,我们研究自相似流量的资源管理以保证QoS。首先,我们调查一个本地ATM网络。然后,建立具有实际ATM网络流量的排队过程,以探索不同条件下的尾部分布。我们发现以下结果:1.长期相关的相关性是排队性能的主要因素。当长距离依赖关系被破坏时,尾部长度会明显减少,而短距离依赖关系被破坏时,排队性能几乎是相同的。 2.更多的缓冲区解决方案不切实际,因为自相似流量的队列长度分布太长,无法完全由更多的缓冲区解决方案来处理。但是,它可能伴有较大的延迟惩罚。 3.更大容量的解决方案可以有效减少排队的尾巴。为了保证与长距离相关的流量的QoS,更多容量的方法被证明是有效的。 4.多路复用是减少排队尾部长度的另一种解决方案,尤其是在高赫斯特参数下。为了在自相似流量上获得良好的QoS,足够的带宽和多路复用是合适的解决方案。提出了一种简单的呼叫接纳控制方案,该方案可以实现较高的利用率并同时维持相对较好的QoS保证。该方案利用了多路复用和足够的带宽分配优势来保证QoS。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号