1

Sir Visvesvaraya Institute of

Technology,

Department of Computer

Engineering,

Nashik

Year 2014-15

2

Seminar Presentation

On

Presented By:

Guided By:

Virtualization Technique to Optimize

Cloud resourses for delivering secured

and simplified IPTV service

Nikhil Dhanrale

Prof. K. N. Shedge

Contents

Introduction

Literature survey

-Existing system

-Live TV

-Video on demand

Propose system

Components

Configuration

Why java?

Conclusion

References

3

Introduction

TV .

Information & Entertainment.

Easy & Fastest Broadcasting Media

Popular & exist everywhere in world

4

5

Sr

No.

Title Of Paper Author Description

1. Microsoft tv: Iptv edition Microsoft team Typically LiveTV and VoD

services are operated

using dedicated servers

2. Dynamic resource

allocation and power

management in

virtualized data centers.

R. Urgaonkar,

U. Kozat, K.

Igarashi, and M.

J. Neely

Cloud computing has

recently changed the

landscape of Internet

based computing

(networks, servers,

storage).

3. Dynamic Programming

and Optimal Control.

D. P. Bertsekas Dynamic optimization is a

sub- branch of

optimization theory that

deals with optimizing the

required control variables

of a discrete time dynamic

system.

Literature survey

Existing system

•Traditional TV system

-Cable TV

-Digital TV

6

Drawbacks

Cost

Poor service

Weak signaling

Feedback

7

Live Tv

Defination

Internet protocol (http,rtsp, igmp).

eg.virgin TV, Tiscali TV, bt vision

Drawback:

1)no guaranted quality of service..

2)unmanagment network.

8

Video on Demand

Large number of Videos .

Mobile user can demand any video

Quality of Service

Eg. Youtube, google video, ABC

9

Propose System

10

LiveTV + VoD

Cloud Storage Server

Security

11

Working of system

Components

Cloud Computing

Deadline Constraints and Scheduling

User Complaint

Optimization

12

Advantages

Quality of Service

No wires needed.

Mobility

Any Special system not required(such as Tvset, set-top box)

Easy selection & Subscription of the channel.

Complaint registration is avilable to all

Reduce cost.

13

H/W Configuration

Processor - Pentium –III Speed - 1.1 Ghz RAM - 256

MB(min) Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard

Windows Keyboard Mouse - Two or

Three Button Mouse Monitor - SVGA

14

S/W System Configuration

Operating System

:Windows95/98/2000/XP

Application Server : Tomcat5.0/6.X

Front End : HTML, Java, Jsp

Scripts : JavaScript.

Server side Script : Java Server

Pages.

Database : Mysql

Database Connectivity : JDBC.15

Why Java?

Strong Support for distrubuted

Applications

Reduce complexity of servers

User-friendly environment.

16

Conclusion

IPTV service providers can leverage a virtualized cloud infrastructure and intelligent time-shifting of load to better utilize deployed resources. Using Instant Channel Change and VoD delivery as examples, we showed that we can take advantage of the difference in workloads of IPTV services to schedule them appropriately on virtualized infrastructures . By anticipating the LiveTVICC bursts that occur every half hour we can speed up delivery of VoD content before these bursts by prefillingthe set top box buffer. This helps us to dynamically reposition the VoD servers to accommodate ICC bursts that typically last for a very short time. Our paper provided generalized framework for computing the amount of resources needed to support multiple services with deadlines.

17

References

Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan“Optimizing Cloud Resources for Delivering IPTV Services through Virtualization” IEEE Transactions on Multimedia,(Volume:15 , Issue: 4 )June 2013

“Microsoft tv: Iptv edition,” http://www.microsoft.com/tv/IPTVEdition.mspx.

R. Urgaonkar, U. Kozat, K. Igarashi, and M. J. Neely, “Dynamic resource allocation and power management in virtualized data centers,” in Proceedings of IEEE IFIP NOMS, March 2010

D. P. Bertsekas, “Dynamic Programming and Optimal Control,” in Athena Scientific, Blemont, Massachusetts, 2007

www.youtube.com

Sportlemon.tv

Firstrow sport, streamhunter.tv…ect.18

19