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长程网络通信trafficnetwork | 邮电通讯系统 2022-08-10 52 0star收藏 版权: . 保留作者信息 . 禁止商业使用 . 禁止修改作品
研究标明具有重尾特性的自相似性网络通信量表现出长程相关的突发性,对这种不同于传统电话网通信量的长程相关的网络通信量进行描述及猜想十分重要。这篇文章在依据对称aipha-平稳分布进程的自相似通信量模型基础上,提出了两种新的对具有重尾特性自相似网络通信量的滑动均匀猜想方法。

(The research shows that the self-similar network traffic with heavy-tail characteristic shows the burstiness of long-range correlation. It is very important to describe and conjecture the long-range correlation network traffic which is different from the traditional telephone network traffic. Based on the self-similar traffic model of symmetric aipha-stationary distributed processes, this paper proposes two new sliding uniform conjecture methods for self-similar network traffic with heavy-tail characteristics.)

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