Application, Network and Link Layer Measurements of Streaming Video over a Wireless Campus Network Passive & Active Measurement Workshop 05 Boston, MA,

Slides:



Advertisements
Similar presentations
An Empirical Study of RealVideo Performance Across the Internet Yubing Wang, Mark Claypool and Zheng Zuo
Advertisements

Performance Analysis of Home Streaming Video Using Orb Rabin Karki, Thangam Seenivasan, Mark Claypool and Robert Kinicki Worcester Polytechnic Institute.
Doc.: IEEE /0604r1 Submission May 2014 Slide 1 Modeling and Evaluating Variable Bit rate Video Steaming for ax Date: Authors:
1 ARMOR-Adjusting Repair and Media Scaling with Operations Research for Streaming Video PhD Candidate: Huahui Wu - Computer Science, Worcester Poly. Inst.
1 Measurements of the Congestion Responsiveness of Windows Streaming Media James Nichols, Mark Claypool, Robert Kinicki and Mingzhe Li Computer Science.
Measurements of Congestion Responsiveness of Windows Streaming Media (WSM) Presented By:- Ashish Gupta.
Networks & Multimedia Amit Pande, Post-doctoral fellow, Department of Computer Science, University of California Davis
CPSC Characteristics of Streaming Media Stored on the Web M. Li, M. Claypool, R. Kinicki, and J. Nichols To appear in ACM Transactions on Internet.
CStream: Neighborhood Bandwidth Aggregation For Better Video Streaming Thangam Vedagiri Seenivasan Advisor: Mark Claypool Reader: Robert Kinicki 1 M.S.
April 2004MQP Topic PresentationsSlide 1 Mark Claypool’s Projects Network Games Streaming Video.
Media Streaming Performance in a Portable Wireless Classroom Network Presenter: Jean Cao Supervisor: Carey Williamson TRLabs & Dept. of Computer Science.
Performance Analysis of the Intertwined Effects between Network Layers for g Transmissions Wireless Multimedia Networking and Performance Modeling.
Re-routing Instability in IEEE Multi-hop Ad-hoc Networks Ping Chung Ng and Soung Chang Liew The 4th IEEE International Workshop on Wireless Local.
April 2006MQP Topics PresentationSlide 1 Mark Claypool’s MQP Projects Counter-strike Network Games Metroid Prime: Hunters.
MediaPlayer ™ vs. RealPlayer ™ A Comparison of Network Turbulence Mingzhe Li, Mark Claypool, Robert Kinicki CS Department Worcester Polytechnic Institute.
CS4514 B06 HELP Session 3 Wireless LAN Measurements CS4514 – Wireless LAN Measurements Presented by Mingzhe Li
Windows Streaming Media Performance Analysis on a IEEE g Residential Network The Seventh International Conferences on Wireless and Optical Communications.
Low Delay Marking for TCP in Wireless Ad Hoc Networks Choong-Soo Lee, Mingzhe Li Emmanuel Agu, Mark Claypool, Robert Kinicki Worcester Polytechnic Institute.
Characterization by Measurement of a CDMA 1x EVDO Network Presenter: Mingzhe Li Wireless Internet Conference (WICON’06) Boston, Massachusetts,
The 4th IEEE International Conference on Broadband Communications, Networks and Systems (BROADNETS) Raleigh, NC, USA September 10-13, 2007 Measuring Queue.
1 PV'2003, Nantes France, April 2003 Measurement of the Congestion Responsiveness of RealPlayer Streaming Video Over UDP Jae Chung, Mark Claypool, Yali.
Adaptive Content-Aware Scaling for Improved Video Streaming. Avanish Tripathi Mark Claypool Presented by: Huahui Wu Worcester Polytechnic Institute
Traffic Sensitive Active Queue Management - Mark Claypool, Robert Kinicki, Abhishek Kumar Dept. of Computer Science Worcester Polytechnic Institute Presenter.
On the Turbulence * of Nintendo DS and Sony PSP Hand-held Network Games Mark Claypool Computer Science Department Worcester Polytechnic Institute.
1 Design study for multimedia transport protocol in heterogeneous networks Haitao Wu; Qian Zhang; Wenwu Zhu; Communications, ICC '03. IEEE International.
Performance Evaluation of Computer Networks
On Combining Temporal Scaling and Quality Scaling for Streaming MPEG Huahui Wu, Mark Claypool, Robert Kinicki Computer Science, Worcester Polytechnic Institute.
WBest: a Bandwidth Estimation Tool for IEEE Wireless Networks Presented by Feng Li Mingzhe Li, Mark Claypool, and.
Rate-Based Active Queue Management with Priority Classes for Better Video Transmission Jae Chung and Mark Claypool Computer Science Department Worcester.
A Model for MPEG with Forward Error Correction (FEC) and TCP-Friendly Bandwidth Huahui Wu, Mark Claypool & Robert Kinicki Computer Science Department Worcester.
IEEE in the Large: Observations at the IETF Meeting Henning Schulzrinne, Andrea G. Forte, Sangho Shin Department of Computer Science Columbia University.
Performance Enhancement of TFRC in Wireless Ad Hoc Networks Travis Grant – Mingzhe Li, Choong-Soo Lee, Emmanuel.
Performance Enhancement of TFRC in Wireless Ad Hoc Networks Mingzhe Li, Choong-Soo Lee, Emmanuel Agu, Mark Claypool and Bob Kinicki Computer Science Department.
Better-Behaved Better- Performing Multimedia Networking Jae Chung and Mark Claypool (Avanish Tripathi) Computer Science Department Worcester Polytechnic.
Treatment-Based Traffic Signatures Mark Claypool Robert Kinicki Craig Wills Computer Science Department Worcester Polytechnic Institute
Measurement of the Congestion Responsiveness of RealPlayer Streaming Video Over UDP Jae Chung, Mark Claypool, Yali Zhu Proceedings of the International.
Using Redundancy and Interleaving to Ameliorate the Effects of Packet Loss in a Video Stream Yali Zhu, Mark Claypool and Yanlin Liu Department of Computer.
Effects of a Bad Channel on the overall WLAN Performance. CS577 Advanced Networking Spring 05 Ashish Samant, Jon Gretarsson, Feng Li {Asamant, jontg,
Performance Analysis of the Intertwined Effects between Network Layers for g Transmissions Wireless Multimedia Networking and Performance Modeling.
Better Behaved, Better Performing Multimedia Networking Jae Chung and Mark Claypool Computer Science Department Worcester Polytechnic Institute Proceedings.
Performance Analysis of the Intertwined Effects between Network Layers for g Transmissions Wireless Multimedia Networking and Performance Modeling.
Research Bytes Bob Kinicki October 13, Network Protocols and Wireless Networks.
Analysis of Active Queue Management Jae Chung and Mark Claypool Computer Science Department Worcester Polytechnic Institute Worcester, Massachusetts, USA.
February 7, 2003BU Computer Science Colloquium Crimson - Traffic Aware Active Queue Management Mark Claypool CS Department Worcester Polytechnic Institute.
Streaming Video over a Wireless Network So what is the problem!! WPI CS Research Rugby Bob Kinicki November 30, 2004.
Using Interleaving to Ameliorate the Effects of Packet Loss in a Video Stream Mark Claypool and Yali Zhu Computer Science Department Worcester Polytechnic.
A Selective Retransmission Protocol for Multimedia on the Internet Mike Piecuch, Ken French, George Oprica and Mark Claypool Computer Science Department.
Guidelines for Selecting Practical MPEG Group of Pictures The IASTED International Conference on Internet and Multimedia Systems and Applications (EuroIMSA.
Network Analysis of Counter-strike and Starcraft Mark Claypool, David LaPoint, Josh Winslow Worcester Polytechnic Institute Worcester, MA, USA
A Credit-based Home Access Point (CHAP) to Improve Application Performance on IEEE Networks Choong-Soo Lee, Mark Claypool and Robert Kinicki In.
EFFECTS OF LOCALITY, CONTENT AND JAVA RUNTIME ON VIDEO PERFORMANCE Vikram Chhabra, Akshay Kothare, Mark Claypool Computer Science Department Worcester.
Packet Dispersion in IEEE Wireless Networks Mingzhe Li, Mark Claypool and Bob Kinicki WPI Computer Science Department Worcester, MA 01609
Thin to Win? Network Performance Analysis of the OnLive Thin Client Game System Mark Claypool, David Finkel, Alexander Grant and Michael Solano Computer.
Worcester Polytechnic Insitute, Worcester, MA, USA1 Traffic Sensitive Active Queue Management for Improved Multimedia Streaming Authors: Vishal Phirke,
1 Measuring Congestion Responsiveness of Windows Streaming Media James Nichols Advisors: Prof. Mark Claypool Prof. Bob Kinicki Reader: Prof. David Finkel.
TCP with Variance Control for Multihop IEEE Wireless Networks Jiwei Chen, Mario Gerla, Yeng-zhong Lee.
Ch 6. Multimedia Networking Myungchul Kim
Adaptive Content-Aware Scaling for Improved Video Streaming. Avanish Tripathi Advisor: Mark Claypool Reader: Bob Kinicki.
Performance Limitations of ADSL Users: A Case Study Matti Siekkinen, University of Oslo Denis Collange, France Télécom R&D Guillaume Urvoy-Keller, Ernst.
On the Performance Characteristics of WLANs: Revisited S. Choi, K. Park and C.K. Kim Sigmetrics 2005 Banff, Canada Presenter - Bob Kinicki Presenter -
11/16/2018 A PhD Dissertation Using Bandwidth Estimation to Optimize Buffer and Rate Selection for Streaming Multimedia over IEEE Wireless Networks.
11/23/2018 Performance Analysis of the Intertwined Effects between Network Layers for g Transmissions Jon Gretarsson, Feng Li, Mingzhe Li, Ashish.
Inferring Queue Sizes in Access Networks by Active Measurement
Characterization of Wireless Networks in the Home
An Analytic Comparison of RPS Video Repair
Performance Evaluation of Computer Networks
Performance Evaluation of Computer Networks
Characterization of Wireless Networks in the Home
Modeling and Evaluating Variable Bit rate Video Steaming for ax
Adjusting Forward Error Correction for TCP- Friendly Streaming MPEG
Presentation transcript:

Application, Network and Link Layer Measurements of Streaming Video over a Wireless Campus Network Passive & Active Measurement Workshop 05 Boston, MA, April 1 st, 2005 Feng Li, Jae Chung, Mingzhe Li, Huahui Wu, Mark Claypool, Bob Kinicki Computer Science Department Worcester Polytechnic Institute Worcester, MA, USA

PAM – April 1 st, Outline Introduction Experimental Methods –Tools and Setup –Experimental Design Results and Analysis Conclusions and Future work

PAM – April 1 st, Motivation Increasingly, deployment of streaming multimedia over wireless LANs –Hardware price decreasing. –Wireless link capacity increasing: 11Mbps(802.11b), 54Mbps(802.11g). –Streaming techniques becoming mature.

PAM – April 1 st, Objectives Correlate performance for –Wireless Link Layer –Network Layer –Application Layer Characterize –Streaming Video Parameters

PAM – April 1 st, Outline Introduction Experimental Methods –Tools and Setup –Experimental Design Results and Analysis Conclusions and Future work

PAM – April 1 st, WPI Campus Network LayerToolsPerformance Measures ApplicationMedia TrackerFrame rate, Frame Lost, Encoding bit rate NetworkUDP Ping, WgetRound-Trip time, Packet loss rate, Throughput WirelessTypeperf, WRAPISignal Strength, Frame Retries, Capacity.

PAM – April 1 st, Experimental Parameters Three access points (AP) –Three AP’s on three different floors in the WPI CS Department. Three different reception locations for each AP. –Good, Fair, Bad based on Windows Wireless signal strength indicator. Experiment period –Winter Break, Dec 23 – 25, Dec 28, 29, 2004

PAM – April 1 st, Experimental Methods Each Experiment instance consists of –1 Initial TCP bulk download –8 Videos 2 Clips: High Motion and Low Motion 2 Encoding method –Single Level at 2.5M bps –Multiple Level, 11 levels, max 2.5 M bps. 2 Protocols: TCP and UDP –1 Final TCP bulk download Total: 360 video streaming 360 = 3 APs * 3 Locations * 8 videos * 5 repetitions

PAM – April 1 st, Outline Introduction Experimental Methods –Tools and Setup –Experimental Design Results and Analysis Conclusions and Future work

PAM – April 1 st, High Level Analysis TCP Streaming UDP StreamingTotal Multiple Level Video Single Level Video Subtotal Data Collected 10 data sets were removed from the 360 video runs due to wireless connection failure. TCP Streaming UDP StreamingTotal Multiple Level Video Single Level Video Subtotal

PAM – April 1 st, Signal Strength Analysis Fig.2. Fig.3.

PAM – April 1 st, Wireless Retry Fraction Figure 8 (modified) : Wireless Retry Fraction for Upstream Traffic

PAM – April 1 st, TCP vs UDP Analysis: Frame Rate Figure 6: Frame Rate for TCP and UDP Streaming

PAM – April 1 st, TCP vs UDP Analysis : Round Trip Time Figure 10: Network Round Trip Time for TCP and UDP Streaming

PAM – April 1 st, TCP vs UDP Analysis: Duration Figure 11: Normalized Playout Duration for TCP and UDP Streaming

PAM – April 1 st, Multiple vs Single Analysis: Frame Rate Figure 4: Frame Rate for Multiple and Single Level Encoding

PAM – April 1 st, Multiple vs Single Analysis: Encoding Rate Fig.14 Encoding Bit Rate vs Wireless Link Capacity

PAM – April 1 st, Conclusions At Good wireless reception locations: –Nearly all the video clips played out at a high Frame Rate. –The treatment choices for streaming a video of multiple or single encoding levels and TCP or UDP protocols do not significantly impact performance.

PAM – April 1 st, Conclusions At Bad wireless reception locations: –Multiple level video streams adapt better than single level streams. –Videos streamed using TCP play out at a higher average frame rate than the same video streamed using UDP. –The play out duration for TCP videos is significantly longer than UDP videos.

PAM – April 1 st, Future work To develop new application layer techniques to identify and adapt to challenging wireless transmission situations. To study the behavior at the AP and the interaction of concurrent clients. To concurrently capture burst loss behavior at multiple protocol levels. To evaluate other commercial streaming products: Realplayer TM and Quick time TM player.

Application, Network and Link Layer Measurements of Streaming Video over a Wireless Campus Network Passive & Active Measurement Workshop 05 Feng Li, Jae Chung, Mingzhe Li, Huahui Wu, Mark Claypool, Bob Kinicki CS Department at Worcester Polytechnic Institute Worcester, MA, USA Thank You!

PAM – April 1 st, Appendix: Encoding Bit Rate vs Wireless Link Capacity

PAM – April 1 st, TCP vs UDP Analysis: Network Loss Rate Figure 9: Network Loss Rate for TCP and UDP Stream