tfrc based adaptive video streaming in cloud

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TFRC BASED ADAPTIVE VIDEO STREAMING IN CLOUD Ajimon Siji #2 S4 MTech CSE Under the guidance of: Mr. Amel Austine Assistant Professor CSE Department

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Page 1: TFRC Based adaptive video Streaming in cloud

TFRC BASED ADAPTIVE VIDEO STREAMING IN

CLOUD

Ajimon Siji

#2

S4 MTech CSE

Under the guidance of:

Mr. Amel Austine

Assistant Professor

CSE Department

Page 2: TFRC Based adaptive video Streaming in cloud

INTRODUCTION

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BASIC IDEA

TFRC PROTOCOL

ADAPTIVE VIDEO STREAMING

CLOUD COMPUTING

3

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PROBLEM STATEMENT

While receiving video streaming traffic via 3G/4G

mobile networks, mobile users often suffer from

long buffering time & intermittent disruptions.

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OBJECTIVE

Adaptive video streaming in cloud to control

transmission rate using TFRC protocol in case of

congestion, avoid packet loss and hence reduce

retransmission rate.

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SCOPE

To share videos efficiently in social network and

adaptive video streaming with bandwidth

fluctuation

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SYSTEM STRUCTURE

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ARCHITECTURE

Social network

SERVERVideo Base

Sub VCFor user B

Sub VCFor user A

TFRC Based transmission

TFRC Based transmission

Prefetching From VB to SubVC

Adaptive streaming using H264

Adaptive streaming using H264

VC8

8

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User Clicks On A Video

Is Video In localVB

Display the Video

YES

OVERALL DESIGN

9

NOA

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Is Video In SubVB

SubVB Starts Adaptive Controller

Client and SubVB Establish Connection

Streaming Transmission starts

Display Video

Yes

10

. . .

10

A

B

No

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Video sends using TFRC protocol

Video download to SubVB

Fetch The Video From VB

SubVB Starts Adaptive Controller

Client and SubVB Establish Connection

Streaming Transmission starts

Display Video

11

. . .

11

B

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User clicks On Video

Is Video In SubVB

Display Video

Is Video In LocalVB

Video sends using TFRC protocol

Video download to SubVB

SubVB Starts Adaptive Controller

Client and SubVB Establish Connection

Streaming Transmission starts

YesNo

No

Yes

Video In VB

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MODULE DESCRIPTION

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MODULES

AVS-ESV Cloud– The Adaptive Video Streaming (AVS)

– The Efficient Social Video Sharing (ESV)

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TFRC -TCP Friendly Rate Control

– TFRC is a rate control mechanism

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• Fluctuation of the link quality.

• SVC encoding techniques.

• Technology used : H264/AVC

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15

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AVS: Adaptive Video Streaming1. a

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SVC(Scalable Video Coding)

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• MPEG-4 AVC

• MP4 is a very popular choice for the H.264 format

• The design of H.264/AVC covers

• Video Coding Layer (VCL)

• Network Abstraction Layer (NAL)

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H264/AVC

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TRADITIONAL

SVC

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COMPARISONS WITH TRADITIONAL METHOD

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USER SubVB

Player Encoded Video Files

DECODER AdaptiveController

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COMMUNICATION BETWEEN USER AND SubVB

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–The social activities

– Public sharing

–Prefetching and buffering

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20

1. b

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ESV: EFFICIENT SOCIAL VIDEO SHARING

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• TCP Friendly Rate Control Protocol

• TFRC is a rate control mechanism

• Mechanism is based on Throughput Equation

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21

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TFRC PROTOCOL2

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– The receiver measures the loss event rate and feeds this

information back to the sender.

– The sender also uses these feedback messages to measure

the round-trip time (RTT).

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22

Sender

Receiver

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WORKING

Page 23: TFRC Based adaptive video Streaming in cloud

– The loss event rate and RTT are then fed into TFRC's throughput

equation, giving the acceptable transmit rate.

– The sender then adjusts its transmit rate to match the calculated

rate.

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23

SenderReceiver

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WORKING

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• The AVS and ESV runs on TFRC Protocol

• The bit rate of the stream can be dynamically

adapted to the changing channel conditions.

• improves all performance indicators such as

interruption time, loss rate, delay and buffer

requirements

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2424

AVS And ESV Over TFRC-Protocol

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IMPLEMENTATION

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Cloud environment setup

Oracle Virtual Box(Private Cloud)

IMPLEMENTATION

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VM IMPLEMENTATION

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PLATFORM : J2SE&J2EE

IDE : NETBEANS 6.9.1

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IMPLEMENTATION

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GRAPH

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GRAPH

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CONCLUSION

• Video Streaming Approach with TFRC

Protocol in Cloud is Proposed.

• The System performs with Higher efficiency

in case of congestion.

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PUBLICATIONS

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Survey Paper:

• Ajimon Siji, Amel Austine,

“Survey On Video Streaming & Sharing In Cloud”, published in

IJARCS : (May – June 2014) (SCIENTIFIC JOURNAL IMPACT FACTOR OF IJARCS IS 3.74 FOR YEAR 2012 AND = 4.862 FOR

YEAR 2013)

Link

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REFERENCES

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[1] Xiaofei Wang, Min Chen, Ted Taekyoung Kwon, Laurence T. Yang and Victor C.M.

Leung 'AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and Efficient

Social Video Sharing in the Clouds' IEEE Transactions On Cloud Computing

[2] José Coelho, Gonçalo Gomes, Eduardo Matos and Carlos Duarte 'A Survey About

Media Content consumption in Social Network Platforms' , Academia.edu 2013.

[3] Heiko Schwarz and Detlev Marpe 'Overview of the SVC Extension of the H.264/AVC

Standard' , IEEE Transactions On Circuits And Systems For Video Technology 2007. LTE

Network' ,IEEE INFOCOM 2012.

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REFERENCES

40

[4] Patrick McDonagh, Carlo Vallati, Amit Pande, Prasant Mohapatra, Philip Perry and

Enzo Mingozzi 'Quality-Oriented Scalable Video Delivery using H.264 SVC on an LTE

Network' ,IEEE INFOCOM 2012.

[5] Ktawut Tappayuthpijarn ,Guenther Liebl, Thomas Stockhammer and Eckehard

Steinbach 'Adaptive Video Streaming over a Mobile Network with TCP-Friendly Rate

Control' ,ACM 2009.

[6] M. Handley,S. Floyd J. Padhye, and J. Widmer'Tfrc protocol specication', Internet url :

https://www.ietf.org/rfc/rfc3448.txt.

[7] Private Cloud Implementation : url : www.devstack.org, www.openstack.org.

[8] Amazone Public Cloud url :www.aws.amazon.com.

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