未来互联网体系结构研究综述(PPT讲稿)Future Internet Architecture:From Network Virtualization to Clean- slate Post-IP

EPSRC University of Essex Ploneering ressarch SEVENTII FRAMCWORK and skills PROGRAMMC Future Internet Architecture:From Network Virtualization to Clean- slate Post-IP Kun Yang(杨鲲) University of Essex,Colchester,UK Thursday 21 March 2013 Xidian U.,Xi'an,China 1
F t I t t A hit t F F u ture I n terne t Architec ture: From Network Virtualization to Clean Network Virtualization to Cleanslate Post slate Post-IP Kun Yang (杨鲲 ) U i i f E C l h UK U n ivers i t y o f Essex, C o l c hester, UK Thursday 21 March 2013 d ’h 1 @ Xi dian U., Xi ’an, C hina

Agenda ■Motivation:why FIA? Network Virtualization Post-IP Future Internet Architecture Converged Network Service Test- bed ■Q&A 2
Agenda M ti ti h FIA? Motivation: why FIA? Network Virtualization Post-IP Future Internet Architecture Converged Network & Service Test Converged Network & Service Testbed Q&A 2

Challenges faced by Current Internet IoM(Internet of Media),IoT(Internet of Things),IoS (Internet of Services)have pushed Internet to its limit in terms of: Performance: 0.5Million backbone routers,9M BGP routes,1T webpage items on Google,15hours video content added into video websites per minute, ..60%increase in Internet traffic flow p.a. Furthermore,IoT makes billions and trillions of"things"connected into the Internet! The Internet becomes huge and more complex. ■ Security: e.g.,90M visa card users hacked in Europe and North America at 2007; DNS server of Storm (Video)Co.being attacked at 2009,leading to 15 provinces'network malfunction in China. 3
Challenges faced by Current Internet Challenges faced by Current Internet IoM ( ), ( g ), ( Internet of Media), IoT (Internet of Thin g s), IoS (Internet of Services) have pushed Internet to its limit in terms of: Performance: 0.5Million backbone routers, 9M BGP routes, 1T webpage items on Google, 15hours video content added into video websites per minute, … 60% increase in Internet traffic flow p a 60% increase in Internet traffic flow p.a. Furthermore, IoT makes billions and trillions of “things” connected into the Internet! The Internet becomes huge and more complex. Security: e.g., 90M visa card users hacked in Europe and North America at 2007; DNS server of Storm (Video) Co. being attacked at 2009, leading to 15 3 DNS server of Storm (Video) Co. being attacked at 2009, leading to 15 provinces’ network malfunction in China

Challenges faced by Current Internet Energy Consumption: ICT energy consumption in 2007 in China equals to the energy generated by Three-Gorge Power Station 1 Google search 11W bulb for 1 hour ■Green! Network Management: Becoming more difficult and almost unmanageable. including content management(e.g.,piracy) 4
Challenges faced by Current Internet Challenges faced by Current Internet Energy p Consum ption: ICT energy consumption in 2007 in China equals to the energy generated by Three-Gorge Power Station 1 Googl h b lb f h le searc h = 11W b ulb for 1 hour Green! Network Management: Network Management: Becoming more difficult and almost unmanageable. including including content content management management (e.g., piracy) piracy) 4

Path to Future Internet:Dirty Slate Solutions:back-compatible,evolutionary,incremental Quality of Service problem?Then IntServ/DiffServ More efficient routing?->MPLS(Multi-Protocol Label Switching) Security problem?Then IP VPN:Virtual Private Network Not enough IP addresses?Then IPv6. Mobility problem?Then Mobile IP or MIPv6 ■Initiatives: NGI,Internet2 at US,Ambient Network in EU, APAN in Japan,CNGI in China. ■Problems: Adding patches and making the Internet more complex and thus more difficult to achieve global optimization. Limiting the further development of the Internet. 5
Path to Future Internet: Dirty Slate Path to Future Internet: Dirty Slate Solutions: back-compatible, evolutionary, incremental Quality of Service problem? Then IntServ/DiffServ More efficient routing? -> MPLS (Multi-Protocol Label Switching) Security problem? Then IP VPN: Virtual Private Network Not enou gh IP addresses? Then IPv6. Mobility problem? Then Mobile IP or MIPv6 Initiatives: NGI, Internet2 at US, Ambient Network in EU, APAN in Japan, CNGI in China. P bl ro ems: Adding patches and making the Internet more complex and thus more difficult to achieve global optimization 5 thus more difficult to achieve global optimization. Limiting the further development of the Internet

Path to Future Internet:Clean-slate Revolutionary (bold!) ■ Do endpoints really matter?Or is it the information that is more important? IP may be "the"problem! Endpoint-centric services move towards information retrieval through,e.g.,CDNs(Content Distribution Networks),youTube,Twitter But how about at the network layer? You BitTorrent WORLD Tube f 6
Path to Future Internet: Clean Path to Future Internet: Clean -slate Revolutionar y( ) bold! ) Do endpoints really matter? Or is it the information that is more im portant? IP may be “the” problem! Endpoint-centric services move towards information retrieval through, e.g., CDNs (Content Distribution N k) T b T i Networ k s ), you T u be, T w itter But how about at the network layer? 6

Ossification of IP-based Infrastructure Huge innovation- email WWW in applications phone... SMTP HTTP Ossification BIP of the core protocols IP Relentless evolution ethernet PPP. of the underlying technology CSMA async Courtesy to M.Handley of UCL conner fiber
Ossification of IP Ossification of IP -based Infrastructure based Infrastructure email WWW phone... Huge innovation in applications SMTP HTTP Ossification RTP... of the core TCP UDP… protocols IP Relentless evolution ethernet PPP… CSMA as ync ion g Relentless evolution of the underlying technology 7 y sonet... copper fiber Courtesy to M. Handley of UCL

Observations The current Internet is end point centric which has contributed to a number of its problems,such as SPAM,virus,denial-of-service attacks, "poor support for mobility and multimedia content distribution. The current Internet is in favour of senders and receivers passively receive. Economically,receivers are forced to carry the cost of unwanted traffic Google youTube's content distribution networks get bigger and more expensive(also for ISPs). There is a consensus that a fundamental reform of the Internet is inevitable in the near future. 8
Observations The current Internet is end point centric which has The current Internet is end point centric which has contributed to a number of its problems, such as SPAM, virus, denial SPAM, virus, denial-of-service attacks, service attacks, poor support for mobility and multimedia content distribution. The current Internet is in favour of senders and receivers passively receive. Economically, receivers are forced to carry the cost of unwanted t ffi ra c Google youTube’s content distribution networks get bigger and more expensive (also for ISPs) and more expensive (also for ISPs). There is a consensus that a fundamental reform of the Internet is inevitable in the near future. 8 Internet is inevitable in the near future

What is the Way Out? g ■UV Cost Cost Clean Dirty rrequent scalable Slate VS Slate Update 里n Easy to Deploy Support Deploy Arch Reduce Innovation Deployment More Feasible? Complexity Net work Virtualization 9
What is the Way Out? What is the Way Out? High C t Low Cos t C t os t Not scalable Frequent Update Clean Slate Dirty Slate Hard to Eas y to Deploy Deploy M F ibl ? Net work More Feasibl e ? 9 Net work Virtualization

Agenda ■Motivation:why FIA? Network Virtualization Post-IP Future Internet Architecture Converged Network Service Test- bed ■Q&A 10
Agenda M ti ti h FIA? Motivation: why FIA? Network Virtualization Post-IP Future Internet Architecture Converged Network & Service Test Converged Network & Service Testbed Q&A 10
按次数下载不扣除下载券;
注册用户24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
- 北京大学:《模式识别》课程教学资源(参考资料)Neural Networks for Classification - A Survey.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Learning in Linear Neural Networks - A Survey.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Data Clustering - A Review.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Data Clustering - 50 Years Beyond K-means.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Artificial neural networks - a tutorial.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Algorithms for Clustering Data.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)A Tutorial on Principal Component Analysis.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)A tutorial on Principal Components Analysis.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Sequential Minimal Optimization - A Fast Algorithm for Training Support Vector Machines.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Introduction to Support Vector Learning.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)A Tutorial on Support Vector Machines for Pattern Recognition.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Support vector machines.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Tutorial on maximum likelihood estimation.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Statistical Pattern Recognition - A Review.pdf
- 北京大学:《模式识别》课程教学资源(参考资料)Digital Image Processing.pdf
- 北京大学:《模式识别》课程教学资源(课件讲稿)人工神经网络简介.pdf
- 北京大学:《模式识别》课程教学资源(课件讲稿)非监督学习方法.pdf
- 北京大学:《模式识别》课程教学资源(课件讲稿)特征的选择和提取(第二部分).pdf
- 北京大学:《模式识别》课程教学资源(课件讲稿)特征的选择和提取(第一部分).pdf
- 《计算机学报》:未来互联网体系结构研究综述(中国科学院计算技术研究所).pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验1 VF集成环境的使用.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验2 数据表的建立、维护和使用.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验3 常量、变量与函数的使用.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验4 数据库操作.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验5 VF程序设计基础.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验6 表单的建立与使用.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验7 表单控件的使用.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验8 报表设计.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验9 菜单设计.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)实验10 程序设计综合应用(学生成绩管理系统).pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)综合实验(简易计算器).pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)使用VF发送电邮及开启网页.pdf
- 《Visual Foxpro数据库应用技术》课程教学资源(实验课件)登录系统.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第1章 绪论.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第2章 数字图像处理基础.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第3章 图像变换.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第4章 图像增强.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第5章 图象恢复.pdf
- 《数字图像处理 Digital Image Processing》课程教学资源(课件讲稿)第6章 图像压缩编码.pdf