arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.08780cs.NImath.PR
收藏

分组交换网络中的端到端时延近似

End-to-End Delay Approximation in Packet-Switched Networks

Yu Chen

摘要:

在本文中,我开发了一个通用的方法来近似端到端延迟(平均延迟,抖动和密度函数)在任何规模的分组交换网络(PSN)下1)Kleinrock的独立性假设(KIA)和2)当分组长度保持不变,当他们从一个网络中的节点到另一个节点时,这是一个替代Kleinrock的独立性假设(AKIA)。本文引入了一种新的相位型分布$C(\mathbf{p},\boldsymbol θ)$,并利用网络流理论和排队论的结果,证明了KIA和AKIA下PSN的端到端时延是两个不同的随机变量,可以用$C(\mathbf{p},\boldsymbol θ)$近似描述。当PSN有AKIA,我从模拟结果表明,AKIA下的方法显着减少了端到端的延迟近似误差,并提供密切的近似相比,KIA下的方法。

英文摘要:

In this paper, I develop a generalized method to approximate end-to-end delay (average delay, jitter and density functions) in packet-switched networks (PSNs) of any size under 1) Kleinrock's independence assumption (KIA) and 2) when packet lengths are kept unchanged when they traverse from node to node in a network, which is an Alternative to Kleinrock's independence assumption (AKIA). I introduce a new phase-type distribution $C(\mathbf{p},\boldsymbol θ)$; and then use results from the network flow theory and queueing theory to show that the end-to-end delay in PSNs under KIA and AKIA are two different random variables approximately described by $C(\mathbf{p},\boldsymbol θ)$. When PSNs have AKIA, I show from simulation that the method under AKIA significantly reduces end-to-end delay approximation errors and provides close approximation compared with the method under KIA.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑