Transcript
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
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