BY

G.ANBUMANI

SANDRA JOHNSON

J.AMUTHA

OUTLINE Introduction

Objectives

Literature survey

Proposed system

Design document

Module Description

Application

Conclusion

Future Enhancement

INTRODUCTION

Cloud computing is a type of computing that relies

on sharing computing resources to handle

applications.

Load balancing in cloud environment is one of the

critical issue while processing and storing the

various multimedia application at the same time.

Cloud based multimedia system offers services of

generating, editing, processing of multimedia data

OBJECTIVES

To distribute the cloud data for more users at the same

time

Client can get the data without any interruptions.

To minimize the cost for transmitting multimedia data

between server clusters and clients

LITERATURE REVIEWS.No Paper Title Publicatio

n detailsProposed

workMerits Demerits

1 Dynamic

Multi-Service

Load Balancing in

Cloud-based

Multimedia

System

May 2013 in

IEEE

Transaction

To increase

the load

balancing

efficiency for

Cloud

Multimedia

files

Load

balancing

for all

multimedia

service tasks

are of the

same type is

maintained

Inability to

consider load

balancing

should adapt

to time

change in

dynamic

scenario

2 Multi-service

Load Balancing in

a Heterogeneous

Network with

Vertical Handover

November

2008 in

Springer

To overlay

heterogeneou

s

WiMAX/WL

AN network

thro’ vertical

handover

To improve

the

performance

of handover

user

Load

balancing in

WiMAX6

affect the

whole system

performance

PROPOSED SYSTEM

Huge number of clients request for different

Multimedia services through internet .

To implement a centralized Cloud-based Multimedia

System(CMS), we proposed a genetic algorithm for

concerned dynamic load balancing problem in CMS.

PROPOSED SYSTEM

The resource manager of CMS stores the global

service task load information collected from server

clusters

Decides the amount of client’s requests assigned to

each server cluster.

Then the load of each server cluster is distributed as

balanced as possible

GENETIC ALGORITHM

Solution to a problem solved by genetic algorithms, is

evolved

Algorithm is started with a set of solution

(represented by chromosomes) called Population

Solutions from one population are taken and used to

form a new population for a better one.

GENETIC ALGORITHM

Solutions which are selected to form new solutions

(offspring) are selected according to their fitness

function

The most suitable one will got more chances and

they have to reproduce

Repeated until some condition is satisfied.

DESIGN DOCUMENT

BLOCK DIAGRAM

MODULES DESCRIPTION

Authentication module

-Became authenticated person to request and

process the request.

MODULE DESCRIPTION

File upload module

-Admin upload all Multimedia files.

-Determine file path

- stored in the Cloud Server.

MODULE DESCRIPTION

Service requestor module

-User request a multimedia file to the Resource

Manager

-It assign the request to cloud server

APPLICATION

Cloud Service Oriented Applications

-Organized as object and they communicate

between the servers and collaborate over the network

Online Multimedia Tools and Application

-multiple media components are combined and

work together

CONCLUSION

In cloud paradigm the effective resource utilization is

required for achieving user satisfaction

Maximizing the profit for cloud service providers.

FUTURE ENHANCEMENT

As a future work we extend the behavioral

characterization of proximity malware to account for

strategic malware detection evasion with game theory

is a challenging task.

User utilizes the source with no limitation.

It accept certain range of request and once the server

free allows N number of request

REFERENCES

Yuming Jiang, Andrew Perkis, “Multi-service Load

Balancing in a Heterogeneous Network with Vertical

Handover,” International Journal of Advanced Research in

Computer and Communication Engineering, vol. 3, Issue.

7, pp. 7359–7362, July. 2014.

C. C. Lin, H. H. Chin, and D. J. Deng, "Dynamic Multi-

Service Load Balancing in Cloud-based Multimedia

System," IEEE System Journal, Vol. 8, Issue 1, pp. 225-

234, 2014.