具有自相似流量的分类克隆方案的评价

Shavan K. Askar, G. Zervas, D. Hunter, D. Simeonidou
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引用次数: 9

摘要

本文介绍了当传入OBS网络的流量是自相似时,所提出的QoS提供方案-分类克隆方案的性能。在开发用于评估目的的新模块之后,使用ns-2进行了密集模拟。传入流量的自相似性通过不同负载场景下传入IP包的间隔到达时间的累积分布函数来描述。结果表明,该方案在最小化延迟和抖动的同时,优于标准OBS和基本克隆方案。比基本克隆和标准OBS的损失率分别提高60%和75%以上。此外,分类克隆所增加的负载比基本克隆所增加的负载要低得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Classified Cloning Scheme with self-similar traffic
This paper presents the performance of a proposed QoS provisioning scheme - the Classified Cloning Scheme - when incoming traffic to the OBS network is self-similar. Intensive simulations were conducted using ns-2, after developing new modules for evaluation purposes. The self-similarity of the incoming traffic is depicted via cumulative distribution functions of the inter-arrival time for incoming IP packets under different load scenarios. Results show that the proposed scheme outperforms both standard OBS and the basic cloning scheme, while minimizing delay and jitter. The loss rate improvement over basic cloning and standard OBS is over 60% and 75% respectively. Moreover, the increased load due to classified cloning is considerably lower than that of basic cloning.
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