1. Jagdamba Education society,
S.N.D. College Of Enggineering, Yeola.
Department Of Computer Science Engineering.
Submitted By, Guided by,
Mr. Badhe D.S. Prof. Bombale G.R.
2. Contents
Introduction
Existing System
Drawbacks Of Existing System
Proposed System
Remote Data Backup Server
Seed Block Algorithm
Advantages Of Proposed System
Application Of Proposed System
Conclusion
3. Introduction
Cloud storage provides online storage where
data stored in the form of virtualized pool that is
usually hosted by third parties.
The Human error, Faulty equipment’s, Network
connectivity, Any criminal intent may put our
cloud storage on the risk and danger.
Changes in cloud are made very frequently; term
it as a data dynamic.
The data dynamics is supported by various
operations such as insertion deletion and block
modification
4. Existing system
HSDRT
(High Speed Data Rate Transfer)
ERGOT
(Efficient Routing Grounded on Txonomy)
PCS
(Parity Cloud Service)
Linux Box
Cold/Hot backup strategy
5. Drawbacks of existing system
Cost
Time complexity
Increase redundancy
Implementation complexity
Require higher bandwidth
6. Proposed system
The objective of proposed algorithm is twofold:
1. Help the users to collect information from
any remote location in the absence of
network connectivity.
2. To recover the files in case of the file
deletion or if cloud gets destroyed
due to any reason
7. Content of Proposed system
Remote data backup server
Arch. Of remote data backup server
Seed block algorithm
Arch. Of seed block algorithm
Experimentation and Result analysis
System configuration
8. Remote data backup server
Backup server is at remote location (i.e. far away
from the main server and having the complete
state of the main cloud .
The remote backup services could cover the
following issues:
1. Data integrity
2. Data security
3. Cost efficiency
11. Arch. Of seed block algorithm
fig.: Architecture of seed block algo.
12. Experimentation and result analysis
Type Size of original
file in main
server
Size of backup
file in remote
server
Size of
recovered file
after recovery
process
Text (txt/
.doc/ .docx/
.xl/ .pdf)
434 KB 434 KB 434 KB
2.5 MB 2.5 MB 2.5 MB
Images
(.jpeg/ .gif/
.png/
.bitmap)
80 KB 80 KB 80 KB
4 MB 4 MB 4 MB
Table:- Performance Analysis For different Type Of File
13. Table:- Effect of Data Size on processsing time.
Practical
data size
Process time
on main cloud
Time (in sec)
(Approx.)
Process time on
remote cloud
Time (in sec)
(Approx.)
Performance
(MB/sec)
1 KB 6.76 2 150
64 KB 12.8 3 160
2 MB 3600 5 164
32 MB 8400 8 250
1 GB 16200 15 280
4 GB 32100 32 280
6 GB 52000 45 380
14. fig.: Sample of Seed Block Algorithm
Sample of Seed Block Algorithm
a. Original file b. EXORed file c. Recovered file
15. system configuration
H/W System 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
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.
16. Advantages of proposed system
Recover same size of data
Low cost
Privacy
Required less time to access data
17. Application of proposed system
Secure data storage and access
Higher level of interaction
Information at right movement
High accuracy
18. Future scope
Diversity is thereby not restricted to the types and
qualities of the CLOUD offering that users may want
to integrate into a single system.
The number of processing units and thus the implicit
performance at-least for multi-task execution is
constantly increasing.
19. conclusion
In this way we studied detailed design
of proposed SBA
algorithm. Proposed SBA is helping users to
collect information in the absence of network
connectivity and also to recover the files in case
of the file deletion or if the cloud get destroyed due
to any reason.
20. references
www.google.com
www.chennaisunday.com
Fifth International conference on System and Network Communication,
pp 256-259
“ERGOT: A Semantic-based System for Service Discovery in Distributed
Infrastructures,”10th IEEE/ACM International Conference on Cluster,
Cloud and Grid Computing.
http://www.eecs.berkeley.edu/Pubs/TechRpts/2009//EEC
S-2009-28.pdf.