'Packet loss rate' diaporamas de présentation

NS2 tutorial

NS2 tutorial. ChihHeng, Ke ( ??? ) Phd Candidate, EE Department, NCKU Email: smallko@ee.ncku.edu.tw MSN: smallko@hotmail.com Skype: smallko2001. Agenda. NS2 setup nsBench How to measure the loss rate, throughput, delay, jitter ? Parse the trace file Modify the C++ codes

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Streaming Protocol Suite

Streaming Protocol Suite. RTP, RTCP, RTSP. Streaming Protocol Suite (1). RTP: Real-Time Transport Protocol RTCP: RTP Control Protocol Published in 1996 as RFC 1889 , and superseded by RFC 3550 in 2003 UDP, binary Transmission direction: RTP: from server to client (receiver)

665 views • 66 slides

VoIP AND MOBILITY

653 views • 52 slides

Flow Control

Flow Control. An Engineering Approach to Computer Networking by S. Keshav http://www.cs.cornell.edu/home/skeshav/book/slides /. Flow control problem. Consider file transfer Sender sends a stream of packets representing fragments of a file

647 views • 47 slides

Web-based ????

Web-based ????. ? ? ? ( Yen-Cheng Chen) ???? ?? ?????? ycchen@ncnu.edu.tw http://www.im.ncnu.edu.tw/ycchen/. ? ?. WWW ??????? ??????. WWW ???????. Web-Based Application Model. WWW Client. WWW Server. App. CGI, ASP. Database. HTML. HTTP. HTTP Server. App. H. Socket, RMI,

565 views • 41 slides

Velocity effect on the Performance of MANEMO

414 views • 33 slides

Jung tae Bae Netmedia Lab.

Lab seminar (2009.05.30). Network-adaptive R ate and Error C ontrol for V ideo S treaming over Wireless M ulti-hop N etworks. Jung tae Bae Netmedia Lab. Contents. Introduction and Background Contributions

360 views • 25 slides

IP Header compression in UMTS network

IP Header compression in UMTS network. Thesis Work Presentation 14.02.2006 Author: Jukka Raunio Supervisor: Prof. Raimo Kantola Instructor: M. Sc. Antti Lehtonen. Content. Background Objectives & methodology Header Compression in UMTS network Header Compression mechanisms

365 views • 24 slides

Exploring Tradeoffs in Failure Detection in P2P Networks

Exploring Tradeoffs in Failure Detection in P2P Networks. Shelley Zhuang, Ion Stoica, Randy Katz HIIT Short Course August 18-20, 2003. Problem Statement. One of the key challenges to achieve robustness in overlay networks: quickly detect a node failure

219 views • 21 slides

Multicast congestion control on many-to-many videoconferencing

Multicast congestion control on many-to-many videoconferencing. Xuan Zhang zhangx@cernet.edu.cn Network Research Center Tsinghua University, China. Outline. Introduction Packets transmission model in multicast based many-to-many videoconference

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Video Streaming Concepts

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Source-Channel Prediction in Error Resilient Video Coding

Source-Channel Prediction in Error Resilient Video Coding. Hua Yang and Kenneth Rose Signal Compression Laboratory ECE Department University of California, Santa Barbara. Outline. Introduction Source-channel prediction Simulation results Conclusions. Introduction .

174 views • 16 slides

EMERGE Deep Tech Mtg Oliver Yu, Jason Leigh, Alan Verlo

EMERGE Deep Tech Mtg Oliver Yu, Jason Leigh, Alan Verlo. Performance Parameters. Latency = Recv Time - Send Time Note: Recv Host and Send Host are synchronized. Jitter = E [{ L i - E [ L] }] Note: E [ ] is the expection of data set. L is the set of 100 most recent Latency samples.

276 views • 15 slides

System Performance Results for Scenario 1

System Performance Results for Scenario 1. Santosh Abraham, Arnaud Meylan, Sanjiv Nanda Qualcomm, Inc. snanda@qualcomm.com. Simulation Methodology. The simulator is based on ns2 Includes physical layer features TGn Channel Models PHY Abstraction determines frame loss events MAC features

215 views • 15 slides

EMERGE Deep Tech Mtg Oliver Yu, Jason Leigh, Alan Verlo

EMERGE Deep Tech Mtg Oliver Yu, Jason Leigh, Alan Verlo. Performance Parameters. Latency = Recv Time - Send Time Note: Recv Host and Send Host are synchronized. Jitter = E [{ L i - E [ L] }] Note: E [ ] is the expection of data set. L is the set of 100 most recent Latency samples.

153 views • 15 slides

TCP Congestion Control

TCP Congestion Control. Ashvin Goel CSE 581: Internet Technology (Winter 2002). TCP. Congestion control crucial for Internet stability TCP uses AIMD congestion control mechanism Additive increase ( ?) - one packet increase per RTT Multiplicative decrease ( ?) - half send rate per RTT

171 views • 14 slides

253 views • 8 slides