Title

IP報文總長字段統計屬性研究

Translated Titles

Research of Statistical Attribution on IP Message Total Length Field

Authors

譚敏生(Min-Sheng Tan);趙治國(Zhi-Guo Zhao);余芸珍(Yun-Zhen Yu);葉善錦(Shan-Jin Ye);陳苗(Miao Chen)

Key Words

抽樣測量 ; 標識字段 ; 統計屬性 ; 抽樣掩碼 ; sampling measurement ; identification field ; statistical attribution ; sampling mask

PublicationName

計算技術與自動化

Volume or Term/Year and Month of Publication

24卷3期(2005 / 09 / 01)

Page #

91 - 94

Content Language

簡體中文

Chinese Abstract

由於網絡技術的迅速發展及吉比特以太網的出現,對流量進行全分組測量越來越困難,採用抽樣方法並以抽樣樣本來估計網絡流量的總體特性已成為研究重點。一般情況下,總體服從什麽分佈是未知的,對總體是否服從某個分佈作檢驗,常用的方法是x^2分佈體驗法。然而,當樣本中IP報文長度比較集中時,大量實驗結果明IP報文的總長字段不服從x^2分佈,但並不能認為抽樣樣本的統計分佈和總體的統計分佈就不相同。本文提出了IP報文總長字段一種新的檢驗方法-累計偏差檢驗法,並在南華大學校園網總出口上進行了抽樣實驗,結果證明抽樣樣本的分佈和總體的分佈相同,同時也證明瞭這種檢驗方法是非常有效的。

English Abstract

With the rapid development of network technology and the emergence of the G-bits Ethernet, it is increasingly difficult to measure the full-grouping of the Network Traffic. Using the method of sampling to estimate population characteristic of network traffic according to sampling samples becomes the most important research. Generally speakly, it is unknown which distribution population conform to, we often use the test method of x^2 distribution to test whether population conform tocertain distribution. But if the length of IP message appears to be comparatively concentrative and this method is still used to estimate the distribution of the total length of IP message, a great number of experiments result manifest that the distribution of the total length of IP message does not conform to x^2 distribution, but we can not think that the sampling sample and population do not have the same statistics distributin. Thus, this paper presents a new test method of the total length field of IP message, which is based on a lot of experiments and is called the test method of accumulation deviation. Furthermore, we have done sampling experiment in campus network exit of Nanhua University. The result verifies that the sampling sample and population have the same statistics distribution as well as this test method is very effective.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 電機工程