Packet Loss Based Real Time Network Condition Estimation

Xiaoyu Cheng, Duyan Bi
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Abstract

Packet loss behaviors have been studied for many years. Traditional packet loss evaluation criteria are not sufficient to describe characteristics of losses: the loss rate is too simple while traditional loss episodes sometimes are not stable due to the randomness of loss events. In this paper, we propose an extended loss episode approach, merged loss episode based on the traditional definition, to estimate the network condition. Also we presented the corresponding algorithm for calculation. Simulation results show that compared with traditional loss episodes, the merged version could be more stable and effective to measure network performance on loss issues.
基于丢包的实时网络状态估计
丢包行为已经被研究了很多年。传统的丢包评估标准不足以描述丢包的特征:丢包率过于简单,而传统的丢包事件由于丢包事件的随机性,有时会导致丢包事件不稳定。本文在传统损失集定义的基础上,提出了一种扩展的损失集方法——合并损失集来估计网络状态。并给出了相应的计算算法。仿真结果表明,与传统的损失集相比,合并版本可以更稳定有效地衡量网络在损失问题上的性能。
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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