AN ENHANCED LOAD BALANCING FOR

A PUBLIC CLOUD BY USING DMA

GUIDED BY

S.Vinoth Kumar M.E.,Asst.ProfessorDepartment of Computer Science and Engineering

ABSTRACT

Load balancing is one of the major issues in allocating

job or store information in a public cloud.

We introduce DMA for efficient cloud division and

load balance strategy.

And also set the refresh period and load status

evaluation for efficient balancing load in public cloud

environment.

EXISTING SYSTEM

ESCE (Equally Spread Current Execution )algorithm .

Round Robin Algorithm.

Ant Colony Algorithm.

DRAWBACKS

The degree of load is calculated and shared it to

system in static scheme.

There is no updated status of the system so the

efficiency is decreased by waiting other load.

PROPOSED SYSTEM

DMA (Division Manage Algorithm)

Refresh Point

ADVANTAGE

By updating the system information we can know the

status of the system.

Through using refresh point we can also provide better

status evaluation and balance strategy.

Dynamic scheme.

SYSTEM CONFIGURATION

Operating System -Windows7

Frond End -Java Swing

Database -MS Access 2007

Database Connectivity -JDBC

Development Tool -NetBeans IDE 7.4

SOFTWARE REQUIREMENTS

HARDWARE REQUIREMENTS

Processor - Intel Pentium

RAM - 2 GB

Hard Disk - 320 GB

MODULE DISCRIPTION

Authentication module

Controller module

Balancing model

Receiver side

Controller can enter the user name and password.

Correct.

Avoid registration process.

CONTROLLER MODULE

Assigns the suitable partition

Stored File Detail

AUTHENTICATION MODULE

View Load Status

Update Balancer

RECEIVER SIDE

File Name and Secret key.

Get data

BALANCING MODULE

SYSTEM ARCHITECTURE

Fig: System Architecture

SCREENSHOT

LOGIN

ADMIN CONTROL

LOAD STATUS

SELECT BALANCER

Fig: File Browse

FILE BROWSE

SHOW UPLOADING FILE

Fig: View Files

VIEW FILE

CONCLUSION

Better Load Balancing

The division rule should simply be based on the

geographic location

In the data statistics analysis, the main controller

and the cloud partition balancers need to refresh

the information at a fixed period.

FUTURE ENHANCEMENT

Heuristics load balancing

By using this load balancing We will achieve

swapping of files takes place normal state of

servers is maintained throughout the cloud.

Time consumption of loading files is reduced.

REFERENCE

Nishant. K, Sharma. P, and Nitin. N. (2012), ‘Load balancing of nodes in cloud

using ant colony optimization’, vol no 4, pp 245-249.

Randles.M, Lamb.D, and Taleb-Bendiab.A, ‘A comparative study into distributed

load balancing algorithms for cloud computing’, in Proc.

IEEE 24th International Conference on Advanced Information Networking and

Applications, Perth, Australia.

Penmatsa .S,and Chronopoulos.A.T,’Game-theoretic static load balancing for

distributed systems’, Journal of Parallel and Distributed Computing, vol. 71.

Grosu.D,Chronopoulos.A.T, and Leung.M.Y ,’ Load balancing in distributed

systems’,n Proc. 16th IEEE Intl Parallel and Distributed Processing .

THANKING YOU