云监测平台功能增强与性能优化研究与实现
发布时间:2018-06-10 01:59
本文选题:网络测量 + 功能增强 ; 参考:《北京邮电大学》2014年硕士论文
【摘要】:近年来,网络技术迅猛发展,基于TCP/IP协议的互联网(Internet)已渗透到社会生活的各个领域,成为了社会基础设施。互联网的稳定性、可靠性对经济、军事、商业等领域有着深远的影响,网络性能监测有着重要意义。随着网络的复杂性不断提高,网络的管理困难也越来越大,架构在单个机器上的网络性能监测系统也不堪重负。因此,网络性能监测系统也逐渐朝着分布式的方向发展,海量网络性能测量数据的存储与分析对采用云计算技术提出了需求。 目前,蓬勃发展的网络应用对各个平台或系统之间的融合提出了要求;同时,网络监测也逐渐从传统用户管理向自动软件管理和虚拟化监测方向发展。分布式网络性能监测系统部署到实际网络环境中,也面临着网络拥塞、网络连接异常断开、网络攻击等问题。云监测平台的功能增强和性能优化有着重要的意义。 本课题实现了云监测平台的开放接口,增加了对于测量探针实时状态信息的管理,可以为网络管理软件以及虚拟化网络监测模块提供支持。通过提供高效的数据查询接口、增加平台关闭后的环境清理模块、完善数据分析器中缓存文件监测模块、添加粘黏数据包解析模块、进行测量探针注册时的MD5认证等工作提升了系统的健壮性、灵活性、安全性。 本文首先介绍了云监测平台进行功能增强和性能优化的技术背景,包括关键技术和分布式网络性能监测系统各模块的功能;其次,针对网络应用发展趋势以及实际网络环境给监测系统带来的问题,对云监测平台的功能局限性和性能局限性进行了分析;最后,在局限性分析的基础上,分别进行了功能增强和性能优化的设计、实现以及测试,经分析测试结果,证明新模块运行稳定,可以解决云监测平台的局限性问题。
[Abstract]:In recent years, network technology has developed rapidly. The Internet (Internet) based on TCP/IP protocol has penetrated into every field of social life, and has become a social infrastructure. The stability of the Internet has a far-reaching impact on the economic, military, commercial and other fields, and network ability monitoring has important significance. With the complexity of the network, the complexity of the network is constantly raised. The management difficulties of the network are becoming more and more difficult, and the network performance monitoring system on a single machine is also unbearable. Therefore, the network performance monitoring system is gradually developing towards the distributed direction. The storage and analysis of mass network performance measurement data has put forward the demand for the use of cloud computing technology.
At present, the rapid development of network applications requires the integration of various platforms or systems. At the same time, network monitoring has gradually developed from traditional user management to automatic software management and virtual monitoring. The distributed network performance monitoring system is deployed to the actual network environment, and also faces network congestion and network connection anomaly. Problems such as disconnection, network attack and so on. The function enhancement and performance optimization of cloud monitoring platform are of great significance.
The open interface of the cloud monitoring platform is realized, and the management of the real-time state information of the measuring probe is added. It can provide support for the network management software and the virtual network monitoring module. By providing efficient data query interface, increasing the environment cleaning module after the platform is closed, and perfecting the cache file monitor in the data analyzer. The module is added, the sticky data package parsing module is added, the MD5 authentication of the probe registration is carried out, and the robustness, flexibility and security of the system are enhanced.
This paper first introduces the technical background of the function enhancement and performance optimization of the cloud monitoring platform, including the key technology and the functions of each module of the distributed network performance monitoring system. Secondly, the function limitation and performance of the cloud monitoring platform are limited and the performance of the network application development trend and the problems brought by the actual network environment to the monitoring system. The limitation is analyzed. Finally, on the basis of the limitation analysis, the design, implementation and test of function enhancement and performance optimization are carried out, and the results of analysis prove that the new module runs steadily and can solve the limitation of the cloud monitoring platform.
【学位授予单位】:北京邮电大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.06
【参考文献】
相关期刊论文 前5条
1 胡光民;周亮;柯立新;;基于Hadoop的网络日志分析系统研究[J];电脑知识与技术;2010年22期
2 孙小宁,康建初;基于Web Service的大规模网络测量平台的研究与实现[J];计算机工程与应用;2003年12期
3 苗青;陈钢;;基于WebService的高校应用集成[J];计算机技术与发展;2008年03期
4 多雪松;张晶;高强;;基于Hadoop的海量数据管理系统[J];微计算机信息;2010年13期
5 何娜;崔毅东;杨谈;金跃辉;;基于云计算的分布式网络测量系统设计[J];微计算机应用;2011年11期
,本文编号:2001580
本文链接:https://www.wllwen.com/guanlilunwen/ydhl/2001580.html