聚合ATM流量的MMPP建模

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341) Pub Date : 1998-05-24 DOI:10.1109/CCECE.1998.682568

S. Shah-Heydari, T. Le-Ngoc

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引用次数: 35

摘要

本文研究了马尔可夫调制泊松过程(MMPPs)在ATM流量建模中的应用，以评估其排队性能。比较了两态MMPP与开关源叠加相匹配的各种技术的性能。通过仿真验证了2状态MMPP及其相应的参数匹配技术对任意聚合ATM流量建模在评价其排队性能方面的适用性。提出了一种针对2状态MMPP模型的精细匹配技术。提出了一种基于矩匹配技术的二态MMPP的四个参数估计方法。给出了测试用例来说明所提出的估计过程的准确性。导出了幸存者函数的近似值。

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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MMPP modeling of aggregated ATM traffic

The paper presents a study on the use of Markov-modulated Poisson processes (MMPPs) in modeling aggregate ATM traffic in order to evaluate the queueing performance. Performance of various techniques for matching a 2-state MMPP to a superposition of on-off sources is compared. The applicability of the 2-state MMPP and its corresponding parameter matching techniques to model an arbitrary aggregate ATM traffic in evaluating its queueing performance are examined by simulation. A refined matching technique for a 2-state MMPP model is proposed. A procedure to estimate the four parameters of a 2-state MMPP from the measured arrivals suitable for the moment-based matching technique is presented. Test cases are given to illustrate the accuracy of the proposed estimation procedure. An approximation for the survivor function is derived.

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来源期刊

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)

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