电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 10 Network Coding and Traffic Balancing

National Laboratory of Communication,UESTC 2017 Network Coding and Traffic Balancing Network Traffic Engineering O:Introduction Page.1
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 0: Introduction Page.1 Network Coding and Traffic Balancing

National Laboratory of Communication,UESTC 2017 Overview Chap 10:Introduction to Network Coding Chap 11:Network Coding in Wireless Networks Chap 12:A Practical Network Coding System Network Traffic Engineering O:Introduction Page.2
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 0: Introduction Page.2 • Chap 10: Introduction to Network Coding • Chap 11: Network Coding in Wireless Networks • Chap 12: A Practical Network Coding System

National Laboratory of Communication,UESTC 2017 Chap 10:Introduction to Network Coding Network Coding (NC) A brief intro to NC-A Chinese-based creative tech in network communication Basic theory of Linear NC Algebraic construction of Linear NC Illustration of Linear NC in wired networks Network Traffic Engineering O:Introduction Page.3
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 0: Introduction Page.3 Chap 10: Introduction to Network Coding • Network Coding (NC) - A brief intro to NC – A Chinese-based creative tech in network communication - Basic theory of Linear NC - Algebraic construction of Linear NC - Illustration of Linear NC in wired networks

National Laboratory of Communication,UESTC 2017 What is network coding (NC)? NC vs.store-and-forward Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 5 What is network coding (NC)? NC vs. store-and-forward

National Laboratory of Communication,UESTC 2017 Store-and-forward Conventional mode of transport Parcels Transportation network Cargo shipment 200时4/H Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 6 Store-and-forward Conventional mode of transport Parcels Transportation network Cargo shipment 2010/4/1

National Laboratory of Communication,UESTC 2017 The store-and-forward mode is inherited by telecommunications. Internet 2010f41 Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 7 The store-and-forward mode is inherited by telecommunications. Internet 2010/4/1

National Laboratory of Communication,UESTC 2017 Treating information like parcel A x=0 or 1 y=0or 1 Every channels transmits one bit. M Oif x=y x⊕y= 1ifx y Either x ory Store-and-forward B Figure adapted from Scientific American,Chinese 7/2007 edition Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 0 if x = y x⊕y = Treating information like parcel x = 0 or 1 y = 0 or 1 Every channels transmits one bit. Store-and-forward 1 if x y Either x or y Figure adapted from Scientific American, Chinese 7/2007 edition

National Laboratory of Communication,UESTC 2017 Treating information like parcel A 数十 Traffic jam B Figure adapted from Scienific American,Chinese 7/2007 edition Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 Treating information like parcel Traffic jam Figure adapted from Scientific American, Chinese 7/2007 edition

National Laboratory of Communication,UESTC 2017 But,information can be processed. A M 0ifx=y x⊕y=11fx y x⊕y B Figure adapted from Scienific American,Chinese 7/2007 edition Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 But, information can be processed. x⊕y = 0 if x = y 1 if x y Figure adapted from Scientific American, Chinese 7/2007 edition

National Laboratory of Communication,UESTC 2017 But,information can be processed. A M 0ifx=y x⊕y={1fx y x⊕y Decode y Decode x x⊕y x⊕y B Figure adapted from Scienific American,Chinese 7/2007 edition Network Traffic Engineering
Network Traffic Engineering National Laboratory of Communication, UESTC 2017 But, information can be processed. x⊕y = 0 if x = y 1 if x y Decode y Decode x Figure adapted from Scientific American, Chinese 7/2007 edition
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;
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 9 Network Traffic Engineering.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 8 Traffic Management and Modeling.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 7 IntServ/RSVP and DiffServ.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 6 Packet Scheduling.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 5 Buffer Management.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 4 TCP Traffic Control.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 3 Traffic Policing and Shaping.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 2 Call-level Models and Admission Control.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 1 Overview - A big Picture on Traffic Control and QoS in IP networks.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Introduction(冯钢).pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 7 Hadoop-Spark.pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 6 Graph Mining.pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 5 Data Stream Mining.pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 4 Sampling for Big Data.pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 3 Hashing.pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 2 BasicConcepts(Foundations of Data Mining).pdf
- 电子科技大学:《大数据分析与挖掘 Big Data Analysis and Mining》课程教学资源(课件讲稿)Lecture 1 Intro(主讲:邵俊明).pdf
- 计算机科学与技术(PPT讲稿)Unlock with Your Heart - Heartbeat-based Authentication on Commercial Mobile Phones.pptx
- 计算机科学与技术(参考文献)VECTOR - Velocity Based Temperature-field Monitoring with Distributed Acoustic Devices.pdf
- 计算机科学与技术(参考文献)VSkin - Sensing Touch Gestures on Surfaces of Mobile Devices Using Acoustic Signals.pdf
- 电子科技大学:《先进计算机网络技术》课程教学资源(课件讲稿)Unit 11 AI Enabled Wireless Access Control and Handoff.pdf
- 《机器学习 Machine Learning》课程教学资源(实践资料)华为Atlas人工智能计算解决方案产品彩页.pdf
- 《机器学习 Machine Learning》课程教学资源(实践资料)Xshell远程登陆开发板方法(华为atlas800 - 910).pdf
- 《机器学习 Machine Learning》课程教学资源(实践资料)MNIST手写体识别实验.pdf
- 《机器学习 Machine Learning》课程教学资源(实践资料)MNIST手写数字识别的Atlas 200DK推理应用.pdf
- 《机器学习 Machine Learning》课程教学资源(实践资料)ModelArts花卉识别(基于MindSpore的图像识别全流程代码实战).pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)[德] Andreas C. Müller [美] Sarah Guido《Python机器学习基础教程 Introduction to Machine Learning with Python》.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)[美] 弗朗索瓦·肖莱《Python深度学习 Deep Learning with Python》.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Finding Structure in Time.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Learning representations by back-propagating errors.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Attention Is All You Need.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Gradient-Based Learning Applied to Document Recognition.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Handwritten Digit Recognition with a Back-Propagation Network.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)An introduction to neural networks for beginners.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)An introduction to neural networks.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)Real-Time Human Pose Recognition in Parts from Single Depth Images.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)A random forest guided tour.pdf
- 《机器学习 Machine Learning》课程教学资源(书籍文献)SVM Tutorial.pdf
- 电子科技大学:《机器学习 Machine Learning》课程教学资源(课件讲稿)第1讲 概论 Introduction(主讲:郝家胜).pdf
- 电子科技大学:《机器学习 Machine Learning》课程教学资源(课件讲稿)第2讲 模型评估与选择 Evaluation and Selection of Models.pdf