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基于队列长度的主动队列管理的非平稳特性。

Non-Stationary Characteristics of AQM Based on the Queue Length.

机构信息

Department of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.

出版信息

Sensors (Basel). 2023 Jan 2;23(1):485. doi: 10.3390/s23010485.

DOI:10.3390/s23010485
PMID:36617082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9824514/
Abstract

We performed a non-stationary analysis of a class of buffer management schemes for TCP/IP networks, in which the arriving packets were rejected randomly, with probability depending on the queue length. In particular, we derived formulas for the packet waiting time (queuing delay) and the intensity of packet losses as functions of time. These results allow us to observe how the evolution of the waiting time and losses depend on initial conditions (e.g., the full buffer) and system parameters (e.g., dropping probabilities, load, packet size distribution). As side results, the stationary waiting time and packet loss probability were obtained. Numerical examples demonstrate applicability of the theoretical results.

摘要

我们对一类 TCP/IP 网络的缓冲管理方案进行了非平稳分析,其中到达的数据包会随机被拒绝,其概率取决于队列长度。具体来说,我们推导出了数据包等待时间(排队延迟)和数据包丢失强度作为时间函数的公式。这些结果使我们能够观察等待时间和丢失的演变如何取决于初始条件(例如,满缓冲区)和系统参数(例如,丢弃概率、负载、数据包大小分布)。作为次要结果,得到了平稳等待时间和数据包丢失概率。数值示例证明了理论结果的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/51b4b6c3477a/sensors-23-00485-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/78ea5efaccc5/sensors-23-00485-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/bf9a43ea9f19/sensors-23-00485-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/85cddd0741ba/sensors-23-00485-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/08bf7c2a3465/sensors-23-00485-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/51b4b6c3477a/sensors-23-00485-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/35e691694442/sensors-23-00485-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/7486c330992a/sensors-23-00485-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/d28dc20e57aa/sensors-23-00485-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/ddf23a33cd77/sensors-23-00485-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/78ea5efaccc5/sensors-23-00485-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/bf9a43ea9f19/sensors-23-00485-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/85cddd0741ba/sensors-23-00485-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/08bf7c2a3465/sensors-23-00485-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57a/9824514/51b4b6c3477a/sensors-23-00485-g010.jpg

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本文引用的文献

1
AQM based on the queue length: A real-network study.基于队列长度的 AQM:真实网络研究。
PLoS One. 2022 Feb 1;17(2):e0263407. doi: 10.1371/journal.pone.0263407. eCollection 2022.
2
On the Transient Queue with the Dropping Function.关于具有丢弃功能的瞬态队列
Entropy (Basel). 2020 Jul 28;22(8):825. doi: 10.3390/e22080825.