【摘要】：在Internet大眾化及Web技術(shù)快速發(fā)展的今天,企業(yè)已開始逐步關(guān)注自身公司網(wǎng)絡(luò)應(yīng)用的發(fā)展。網(wǎng)絡(luò)應(yīng)用如今已經(jīng)從一般的網(wǎng)站發(fā)展成為大型電子商務(wù)、信息發(fā)布和提供各種服務(wù)的平臺,與此同時網(wǎng)站性能以及其安全性問題逐步進(jìn)入各類企業(yè)視野。傳統(tǒng)的網(wǎng)站性能與安全性監(jiān)控需要管理人員人工審查網(wǎng)站日志、審核相關(guān)代碼,這不僅增加了額外的工作量,還無法實時有效的對故障進(jìn)行預(yù)警,減少性能或安全問題對企業(yè)所帶來的影響。研究實現(xiàn)網(wǎng)站性能及安全監(jiān)控平臺并及時預(yù)警相關(guān)問題,對企業(yè)的發(fā)展具有重要的意義。 基于以上研究背景,本文設(shè)計并實現(xiàn)了一種分布式網(wǎng)站性能及安全監(jiān)控平臺。通過分布式的部署監(jiān)控點,使監(jiān)控點處于不同的網(wǎng)絡(luò)運營環(huán)境以及不同的地理位置,實時采集網(wǎng)站性能及安全監(jiān)控狀況,將所采集數(shù)據(jù)匯集到后臺服務(wù)端。后臺服務(wù)端通過數(shù)據(jù)匯集的形式對數(shù)據(jù)進(jìn)行加工處理,并對相應(yīng)的數(shù)據(jù)分析做出相應(yīng)的決策。該平臺為企業(yè)網(wǎng)站性能及安全問題提供一種全新的綜合解決方案,改善了原有的人工審核工作,使網(wǎng)站性能及安全監(jiān)控工作更加智能化、自動化。 平臺服務(wù)器需要維護(hù)大量的連接,并處理海量數(shù)據(jù),對其性能要求非常嚴(yán)格。本文通過研究Windows操作系統(tǒng)下不同服務(wù)器模型和不同線程同步機制,通過實驗對比并結(jié)合平臺自身需求給出了解決方案。本文基于Windows操作系統(tǒng)所提供的高效服務(wù)器模型IOCP和關(guān)鍵段加自旋鎖線程同步技術(shù),配合線程池、內(nèi)存池以及消息隊列等系統(tǒng)級技術(shù),設(shè)計實現(xiàn)了高效穩(wěn)定的服務(wù)器。為提高平臺的擴展性以及模塊間的耦合性,本文設(shè)計并實現(xiàn)了一種自適應(yīng)協(xié)議解析器。最后,本文對平臺進(jìn)行了性能測試和功能測試,其中性能測試顯示平臺服務(wù)器在高并發(fā)情況下具有較高響應(yīng)能力,能實時處理任務(wù),客戶端在大量監(jiān)控任務(wù)的情況下依然能較好的反應(yīng)用戶體驗。本文包含圖25副,
[Abstract]:With the popularization of Internet and the rapid development of Web technology, enterprises have begun to pay more attention to the development of their own network applications. Network applications have developed from general websites to platforms for large-scale e-commerce, information publishing and various services. At the same time, Web site performance and its security issues have gradually entered the field of view of all kinds of enterprises. Traditional website performance and security monitoring requires administrators to manually review site logs and review related code, which not only adds additional workload, but also fails to effectively warn failures in real time. Reduce the impact of performance or security issues on the business. The research and realization of website performance and security monitoring platform and timely early warning related problems are of great significance to the development of enterprises. Based on the above research background, this paper designs and implements a distributed website performance and security monitoring platform. Through the distributed deployment of monitoring points, the monitoring points are located in different network operation environments and different geographical locations, real-time collection of website performance and security monitoring status, and collection of collected data to the background server. The background server processes the data in the form of data collection, and makes the corresponding decision on the corresponding data analysis. The platform provides a new comprehensive solution for the performance and security problems of the enterprise website, improves the original manual audit work, and makes the website performance and safety monitoring more intelligent and automatic. Platform servers need to maintain a large number of connections and process massive data, its performance requirements are very strict. In this paper, different server models and different thread synchronization mechanisms under Windows operating system are studied, and the solution is given by comparing the experiments and combining the requirements of the platform itself. An efficient and stable server is designed and implemented based on the efficient server model IOCP provided by the Windows operating system and the key segment plus spin lock thread synchronization technology, and the system-level technologies such as thread pool, memory pool and message queue are used to design and implement the efficient and stable server. In order to improve the expansibility of the platform and the coupling between modules, an adaptive protocol parser is designed and implemented in this paper. Finally, the performance test and function test of the platform are carried out, in which the performance test shows that the platform server has high response ability and can handle tasks in real time under high concurrency. In the case of a large number of monitoring tasks, the client can still better respond to the user experience. This article contains figure 25 pairs,
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.092

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