利用网络侦测技术实现IP网络规划
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摘要
全球IP网络始终以远超GDP增长的速度在发展,对于IP网络建设的相应网络规划、设计和建设工作的规模和难度也与日俱增。其中难度最大的要属IP网络规划工作,由于IP网络其自身协议造成的不确定性和弱可控性,使得要了解网络中的问题和瓶颈非常困难。
为了能更精确的了解IP网络的运行状况,一系列的网络流量侦测技术被开发出来。如最开始的SNMP技术,到后来的XFLOW以及目前最新的DPI技术,这些技术无一不在努力解决目前IP网络运行过程中的一大问题——精确测量网络的运行状态。这些新技术的诞生,虽然能一定程度解决测量网络运行状态的难题,但是是否可以就此应用于IP网络规划中去呢。这就给我们提出了一个新的课题,也就是如何应用目前主流的网络侦测技术,帮助实施IP网络规划工作。
当今随着低碳经济时代的到来,整个IT业都在为如何减少碳排放寻求解决之道。在这样的时代背景下,IP网络发展也必须由原来粗放的发展方式向精细化发展转变。网络发展规划先行,所以精细化的网络规划策略在当今的时代背景下变得尤为重要。
本文主要探讨和研究如何使用现有的网络侦测技术,帮助IP网络规划实现精细化。对于侦测技术获得的数据如何进行数据挖掘和综合运用,以及网络规划中的各个阶段何种技术最有帮助,对于这些问题本文都将进行详细解答。最后,希望通过对侦测技术和网络规划的研究,制定出一个适合目前IP网络的规划策略。这些规划策略将应用到今后的网络规划中去,为实现精细化的网络规划,以及更合理的利用现有网络资源提供参考建议。
Global IP Network has always far exceeded the growth rate of GDP in the development of network construction for the corresponding IP network planning, design and construction work are also increasing the size and difficulty. One of the most difficult to be an IP network planning work, because IP network protocol characteristics of its own uncertainty and weak controllability, allowing to understand the problems and bottlenecks in the network very difficult.
In order to understanding of IP networks more precisely, operational status, a series of network traffic detection technology has been developed. If the beginning of the SNMP technology, to the later XFLOW, and the DPI, as well as the latest technologies, these technologies are all in their efforts to resolve the current IP network is running a big issue in the precise measurement of the network running status. Although the birth of new technology can solve the measurement of the network running status of the problem, but whether he could have applied to IP network planning go. This gives us a new subject, that is, how to use the network to detect the current mainstream technology, to help implement the IP network planning.
With today's low-carbon economy era, the entire IT industry is seeking ways to reduce carbon emissions solution. In this backdrop, IP networks should also from the extensive mode of development change to the refinement of development. Network development planning in advance, so refinement of the network planning strategy in the context of today's times has become particularly important.
In this thesis, to explore and study how to use the existing network detection technology to help achieve the IP network planning to achieve refined strategy is feasible. Reaction for the detection of technical data on how to conduct a comprehensive study of the use is also very worthwhile, and in various stages of network planning what technology can be most helpful, for these questions this thesis will be answered in detail. Finally, I hope through detection technology and network planning study to develop a suitable strategy for now IP network planning. Through these strategies be applied to future network planning to go to achieve precise network planning for the future management, in order to be more years of use of existing network resources to provide reference to the proposed operation.
为了能更精确的了解IP网络的运行状况,一系列的网络流量侦测技术被开发出来。如最开始的SNMP技术,到后来的XFLOW以及目前最新的DPI技术,这些技术无一不在努力解决目前IP网络运行过程中的一大问题——精确测量网络的运行状态。这些新技术的诞生,虽然能一定程度解决测量网络运行状态的难题,但是是否可以就此应用于IP网络规划中去呢。这就给我们提出了一个新的课题,也就是如何应用目前主流的网络侦测技术,帮助实施IP网络规划工作。
当今随着低碳经济时代的到来,整个IT业都在为如何减少碳排放寻求解决之道。在这样的时代背景下,IP网络发展也必须由原来粗放的发展方式向精细化发展转变。网络发展规划先行,所以精细化的网络规划策略在当今的时代背景下变得尤为重要。
本文主要探讨和研究如何使用现有的网络侦测技术,帮助IP网络规划实现精细化。对于侦测技术获得的数据如何进行数据挖掘和综合运用,以及网络规划中的各个阶段何种技术最有帮助,对于这些问题本文都将进行详细解答。最后,希望通过对侦测技术和网络规划的研究,制定出一个适合目前IP网络的规划策略。这些规划策略将应用到今后的网络规划中去,为实现精细化的网络规划,以及更合理的利用现有网络资源提供参考建议。
Global IP Network has always far exceeded the growth rate of GDP in the development of network construction for the corresponding IP network planning, design and construction work are also increasing the size and difficulty. One of the most difficult to be an IP network planning work, because IP network protocol characteristics of its own uncertainty and weak controllability, allowing to understand the problems and bottlenecks in the network very difficult.
In order to understanding of IP networks more precisely, operational status, a series of network traffic detection technology has been developed. If the beginning of the SNMP technology, to the later XFLOW, and the DPI, as well as the latest technologies, these technologies are all in their efforts to resolve the current IP network is running a big issue in the precise measurement of the network running status. Although the birth of new technology can solve the measurement of the network running status of the problem, but whether he could have applied to IP network planning go. This gives us a new subject, that is, how to use the network to detect the current mainstream technology, to help implement the IP network planning.
With today's low-carbon economy era, the entire IT industry is seeking ways to reduce carbon emissions solution. In this backdrop, IP networks should also from the extensive mode of development change to the refinement of development. Network development planning in advance, so refinement of the network planning strategy in the context of today's times has become particularly important.
In this thesis, to explore and study how to use the existing network detection technology to help achieve the IP network planning to achieve refined strategy is feasible. Reaction for the detection of technical data on how to conduct a comprehensive study of the use is also very worthwhile, and in various stages of network planning what technology can be most helpful, for these questions this thesis will be answered in detail. Finally, I hope through detection technology and network planning study to develop a suitable strategy for now IP network planning. Through these strategies be applied to future network planning to go to achieve precise network planning for the future management, in order to be more years of use of existing network resources to provide reference to the proposed operation.
引文
[1](美)多伊尔,(美)卡罗尔著,葛建立,吴剑章译.TCP/IP路由技术(第一卷)(第二版)[M].北京：人民邮电出版社,2007：全书.
[2](美)多伊尔(Doyle, J),(美)卡罗尔(Carroll, J.D)著；夏俊杰译.TCP／IP路由技术(第二卷)[M].北京：人民邮电出版社,2009：全书.
[3]唐红等著.IP网络测量[M].北京：科学出版社,2009：110-121.
[4]徐宇杰编著.路由技术深入分析[M].北京：清华大学出版社,2009：78-82.
[5]林生,范冰冰,韩海雯,张奇支编著.计算机通信与网络教程(第三版)[M].北京：清华大学出版社,2008：56-66.
[6]毛京丽编著.宽带IP网络[M].北京：人民邮电出版社,2010：45-48.
[7]姜惠民等主编.网络组建与互联[M].北京：电子工业出版社,2009：18-23.
[8]刘天华,孙阳,黄淑伟 编.网络系统集成与综合布线[M].北京：人民邮电出版社,2008：60-62.
[9]李学军,李洪,朱英军编著.宽带IP城域网的优化策略与实践[M].北京：人民邮电出版社,2002：100-112.
[10]陈运清 等编著.城域网组网技术与业务运营[M].北京：人民邮电出版社,2009：12-14.
[11](日)井口信和著,吴松芝,董江洪译.TCP／IP网络工具篇[M].北京：科学出版社,2003：123-146.
[12]美.斯托林斯著.高速网络与因特网性能与服务质量(英文版.第2版)[M].机械工业出版社,2003：55-56.
[13]李洪林殿魁李学军等编著.电信级IP信息网络的构建[M].北京：人民邮电出版社,2002：全文.
[14](美)张(Zhang, R.),(美)巴特尔(Bartell, M)著,黄博,葛建立译.BGP设计与实现[M].北京：人民邮电出版社,2008：76-77.
[15](美)奥尔韦(Alwayn, V.)著,刘兴初等译.高级MPLS设计与实施[M].北京：人民邮电出版,2003：88-89.
[16]罗忆祖.DPI技术助力运营商精细化运营[J]. 电信网技术,2009,3：22-24.
[17]柴佳林简银刘兴伟.一种基于支持向量机的IP网络流量预测方法[J].西南大学学报,2010,1：54-57.
[18]曾国鉴,鲁士文.分布式异常流量监测系统的设计[J].计算机应用于软件,2008,25(11)：154-156.
[19]刘建.Netflow技术原理与应用[J].铁路通信信号,2005,41(11)：33-35.
[20]何海涛,罗笑南,郭清顺.Netflow在边界网流量测量中的应用研究[J].计算机工程与应用,2004,40(11)：11-14.
[21]米淑云.IP网络流量监控系统的设计与实现[D].北京,北京邮电大学,2009：
[22]赵泳华.基于包特征检测的IP业务流分析模型[D].北京,北京邮电大学,2009：
[23]黄楠.基于NetFlow的IP网流量流向监控系统的研究与设计[D].广东,暨南大学,2006：
[2](美)多伊尔(Doyle, J),(美)卡罗尔(Carroll, J.D)著；夏俊杰译.TCP／IP路由技术(第二卷)[M].北京：人民邮电出版社,2009：全书.
[3]唐红等著.IP网络测量[M].北京：科学出版社,2009：110-121.
[4]徐宇杰编著.路由技术深入分析[M].北京：清华大学出版社,2009：78-82.
[5]林生,范冰冰,韩海雯,张奇支编著.计算机通信与网络教程(第三版)[M].北京：清华大学出版社,2008：56-66.
[6]毛京丽编著.宽带IP网络[M].北京：人民邮电出版社,2010：45-48.
[7]姜惠民等主编.网络组建与互联[M].北京：电子工业出版社,2009：18-23.
[8]刘天华,孙阳,黄淑伟 编.网络系统集成与综合布线[M].北京：人民邮电出版社,2008：60-62.
[9]李学军,李洪,朱英军编著.宽带IP城域网的优化策略与实践[M].北京：人民邮电出版社,2002：100-112.
[10]陈运清 等编著.城域网组网技术与业务运营[M].北京：人民邮电出版社,2009：12-14.
[11](日)井口信和著,吴松芝,董江洪译.TCP／IP网络工具篇[M].北京：科学出版社,2003：123-146.
[12]美.斯托林斯著.高速网络与因特网性能与服务质量(英文版.第2版)[M].机械工业出版社,2003：55-56.
[13]李洪林殿魁李学军等编著.电信级IP信息网络的构建[M].北京：人民邮电出版社,2002：全文.
[14](美)张(Zhang, R.),(美)巴特尔(Bartell, M)著,黄博,葛建立译.BGP设计与实现[M].北京：人民邮电出版社,2008：76-77.
[15](美)奥尔韦(Alwayn, V.)著,刘兴初等译.高级MPLS设计与实施[M].北京：人民邮电出版,2003：88-89.
[16]罗忆祖.DPI技术助力运营商精细化运营[J]. 电信网技术,2009,3：22-24.
[17]柴佳林简银刘兴伟.一种基于支持向量机的IP网络流量预测方法[J].西南大学学报,2010,1：54-57.
[18]曾国鉴,鲁士文.分布式异常流量监测系统的设计[J].计算机应用于软件,2008,25(11)：154-156.
[19]刘建.Netflow技术原理与应用[J].铁路通信信号,2005,41(11)：33-35.
[20]何海涛,罗笑南,郭清顺.Netflow在边界网流量测量中的应用研究[J].计算机工程与应用,2004,40(11)：11-14.
[21]米淑云.IP网络流量监控系统的设计与实现[D].北京,北京邮电大学,2009：
[22]赵泳华.基于包特征检测的IP业务流分析模型[D].北京,北京邮电大学,2009：
[23]黄楠.基于NetFlow的IP网流量流向监控系统的研究与设计[D].广东,暨南大学,2006：