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CS234 – Advanced Network Tuesdays, Thursdays 3:30-4:50p.m. ICS 243
Prof. Nalini Venkatasubramanian
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Course logistics and details
Course Web page Lectures - TuTh 3:30-4:50p.m Must Read: Course Reading List Collection of Technical papers and reports by topic Reference Books Computer Networking: A Top-Down Approach (5th Edition), by Jim Kurose and Keith Ross, Addison Wesley (preferred) Multimedia Systems, by Ralf Steinmetz and Klara Nahrstedt, Springer 2004.
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Prerequisite Knowledge
Undergraduate level course in computer networks. Understanding of basic networking protocols is desirable. Basic programming skills in Java, C++,…
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Course logistics and details
Homeworks Paper summaries Midterm Examination Tentatively scheduled for end of Week 7 Course Project Maybe done in groups Project proposal due end of Week 3 Survey of related works due end of Week 6 Final Project presentations/demos/reports – Finals week Potential projects will be available on webpage
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Grading Policy Homeworks - 20% of final grade
4 topic summaries. Due on the next week after covering a topic. Midterm - 30% of final grade Tentatively in Week 5 Team Presentation - 10% of final grade Due on Weak 10 Class Project - 40% of final grade Final assignment of grades will be based on a curve.
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Lecture Schedule Week 1,2 : Internet Week 3,4 : Peer-to-Peer Networks
Top-Down overview of internet Applications of internet Web-HTTP, -SMPT, FTP, Web Cache Week 3,4 : Peer-to-Peer Networks Overview of P2P networks Lookup, Load Balancing, Latency, Throughput Unstructured P2P – Gnutella, BitTorrent, KaZaa Structured P2P – Chord, Pastry, CAN
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Lecture Schedule Week 5,6 :Application Layer Multicasting
Basic Tree-based ALM Locality, Reliability, Load-balancing Forest/Mesh-based ALM Maximizing bandwidth utilization Flash Dissemination Reliability and latency under high failure Week 7,8,9 : Multimedia Multimedia networking Traffic Shaping and Rate control Error control, Adaptation, Protocols Case Studies – Token Ring, FDDI, ATM
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Lecture Schedule Week 10 Overview of Mobile/Pervasive/Sensor Networks
Team presentation
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