本文選題：分布式 + 網(wǎng)站監(jiān)測(cè)　； 參考：《北京化工大學(xué)》2014年碩士論文

【摘要】：互聯(lián)網(wǎng)技術(shù)自發(fā)明以來(lái),走過(guò)了40個(gè)年頭,其發(fā)展迅速性和規(guī)模龐大性使其應(yīng)用廣泛,遍及各個(gè)行業(yè)�；ヂ�(lián)網(wǎng)最大的應(yīng)用之一網(wǎng)站,已經(jīng)滲透了我國(guó)各個(gè)角落,很多網(wǎng)站存在可訪問(wèn)性差、用戶對(duì)網(wǎng)站的滿意度不高,以及網(wǎng)站已經(jīng)宕機(jī)而無(wú)人知曉等問(wèn)題,不能及時(shí)的發(fā)現(xiàn)網(wǎng)站的運(yùn)行狀況和可用性問(wèn)題。 前人對(duì)網(wǎng)站監(jiān)測(cè)只是采用單點(diǎn)測(cè)量數(shù)據(jù)判斷網(wǎng)站的運(yùn)行狀況,最終結(jié)果準(zhǔn)確率較低,并且缺少網(wǎng)站預(yù)測(cè)的功能。針對(duì)前人對(duì)網(wǎng)站監(jiān)測(cè)研究的不足,為保證網(wǎng)站的安全穩(wěn)定運(yùn)行,通過(guò)分布式監(jiān)測(cè)來(lái)提高網(wǎng)站預(yù)測(cè)準(zhǔn)確率。論文首先介紹了網(wǎng)站的性能指標(biāo)參數(shù),構(gòu)建分布式網(wǎng)站仿真工且OPNET、信息粒化的相關(guān)知識(shí)。其次介紹了網(wǎng)站監(jiān)測(cè)分類和網(wǎng)站性能狀態(tài)的評(píng)測(cè)標(biāo)準(zhǔn),參考國(guó)內(nèi)外研究成果,設(shè)計(jì)了一個(gè)分布式網(wǎng)站監(jiān)測(cè)系統(tǒng),采集分布式網(wǎng)站監(jiān)測(cè)系統(tǒng)的仿真數(shù)據(jù)進(jìn)行了Web性能參數(shù)之間關(guān)系的分析。最后,采用單點(diǎn)監(jiān)測(cè)和分布式監(jiān)測(cè)兩種方式對(duì)實(shí)際網(wǎng)站進(jìn)行監(jiān)測(cè)。對(duì)網(wǎng)站的狀態(tài)分類采用隨機(jī)驗(yàn)證、交叉選擇、遺傳算法和粒子群算法進(jìn)行優(yōu)化和對(duì)比說(shuō)明。對(duì)網(wǎng)站狀態(tài)預(yù)測(cè)采用基于支持向量機(jī)的信息粒化的方式進(jìn)行預(yù)測(cè),對(duì)一段時(shí)間內(nèi)響應(yīng)時(shí)間的最小值預(yù)測(cè)的相對(duì)準(zhǔn)確率可以達(dá)到95%,平均值相對(duì)準(zhǔn)確率達(dá)到96.2%,最大值的相對(duì)準(zhǔn)確率 達(dá)到87%,可較準(zhǔn)確預(yù)測(cè)出網(wǎng)站響應(yīng)時(shí)間的范圍,保證網(wǎng)站健康、穩(wěn)定的運(yùn)行,改善網(wǎng)站的可用性和用戶滿意度。課題的成功預(yù)測(cè)對(duì)日益嚴(yán)重的網(wǎng)絡(luò)安全問(wèn)題具有重要的研究意義和應(yīng)用價(jià)值。
[Abstract]:Internet technology has been developed for 40 years since its invention. Its rapid development and large scale make it widely used in various industries. One of the largest applications of the Internet, websites have penetrated every corner of our country. Many websites have problems such as poor accessibility, low user satisfaction with the website, and the fact that the website has gone down without anyone knowing it. Unable to find out the running status and usability of the website in time. The former people only use single point measurement data to judge the running condition of the website, and the accuracy of the final result is low, and the function of website prediction is lacking. In order to ensure the safe and stable operation of the website, distributed monitoring is used to improve the accuracy of website prediction. Firstly, the paper introduces the performance parameters of the website, constructs the distributed website simulator and OPNETand the relevant knowledge of information granulation. Secondly, this paper introduces the classification of website monitoring and the evaluation standard of website performance status, and designs a distributed website monitoring system with reference to domestic and foreign research results. The simulation data of distributed website monitoring system are collected and the relationship between Web performance parameters is analyzed. Finally, single-point monitoring and distributed monitoring are used to monitor the actual website. This paper uses random verification, cross selection, genetic algorithm and particle swarm optimization to optimize and explain the status classification of the website. The information granulation method based on support vector machine (SVM) is used to predict the state of the website. The relative accuracy of predicting the minimum response time over a period of time can reach 95%, the relative accuracy of average value reaches 96.2and the relative accuracy of maximum value reaches 96.2%. It can accurately predict the response time range of the website, ensure the healthy and stable operation of the website, improve the usability and user satisfaction of the website. The successful prediction of this topic has important significance and application value to the increasingly serious network security problems.
【學(xué)位授予單位】：北京化工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.092

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王有為,汪定偉;基于網(wǎng)頁(yè)可達(dá)性和平均載入時(shí)間的網(wǎng)站評(píng)估方法[J];東北大學(xué)學(xué)報(bào);2002年10期

2 王宏偉;楊雨;張智華;;網(wǎng)絡(luò)時(shí)延預(yù)測(cè)研究[J];電腦知識(shí)與技術(shù);2011年10期

3 夏中林;;校園網(wǎng)網(wǎng)站監(jiān)測(cè)系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[J];電腦知識(shí)與技術(shù);2012年08期

4 姜明;吳春明;張e，

本文編號(hào)：1833050