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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.
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
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
Existing system
 HSDRT
(High Speed Data Rate Transfer)
 ERGOT
(Efficient Routing Grounded on Txonomy)
 PCS
(Parity Cloud Service)
 Linux Box
 Cold/Hot backup strategy
Drawbacks of existing system
 Cost
 Time complexity
 Increase redundancy
 Implementation complexity
 Require higher bandwidth
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
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
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
fig.: Remote data backup server and its Arch.
Seed block algorithm
Arch. Of seed block algorithm
fig.: Architecture of seed block algo.
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
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
fig.: Sample of Seed Block Algorithm
Sample of Seed Block Algorithm
a. Original file b. EXORed file c. Recovered file
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.
Advantages of proposed system
 Recover same size of data
 Low cost
 Privacy
 Required less time to access data
Application of proposed system
 Secure data storage and access
 Higher level of interaction
 Information at right movement
 High accuracy
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.
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.
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.
Any
question???
thank
you…

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seed block algorithm

  • 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
  • 9. fig.: Remote data backup server and its Arch.
  • 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.