Estimation of network performance: An approach based on network experience

被引：1

作者：

Zabir, SMS ^{[1
]}

Ashir, A ^{[1
]}

Shiratori, N ^{[1
]}

机构：

[1] Tohoku Univ, RIEC, Sendai, Miyagi, Japan

来源：

15TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/ICOIN.2001.905533

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Network Application Logs (squid logs, ftp logs, mail logs etc) are a paramount source of network information. By a careful analysis of these logs, network performance metric (throughput etc) can be obtained. Since these records contain past information, any conventional analysis would result in network performance indices which are somehow static. On the other hand, network resources as well as the utilities are dynamic. It thus poses a difficult task to understand how the network would behave like at some time in future. In this paper, we present a estimation model of network behavior dynamics exploiting its past activities. The approached model employs a sophisticated application of standard statistical estimation techniques applied in aid with a variant of genetic algorithm operators. This involves introducing new statistical operators to adapt to their genetic algorithm counterparts. We have carried out experiments using a one year long network application log archive, presented the results and displayed the evaluation of our approach.

引用

页码：657 / 662

页数：6