This document proposes a scalable server architecture called Presence Cloud for social networking applications. Presence Cloud organizes presence servers into a server-to-server overlay network to improve efficiency and scalability. It employs techniques like one-hop caching and directed buddy search to minimize response times and reduce network traffic. The document describes modules of the proposed system and provides screenshots of a sample implementation.

1. A Scalable server architecture in social networking
applications
Presenting By
BATTU DIVYA

2.  INTRODUCTION
 EXISTING SYSTEM
 PRPOSED SYSTEM
 MODULES
 SYSTEM CONFIGURATIONS
 SCREEN SHOTS
 CONCLUSION

3.  Social networking services are growing . Many
people communicating with the world using these.
 A mobile presence service is an essential
component of social networking applications.
 If presence updates occur frequently, the enormous
number of message distributed by presence servers
may lead to scalability problem.

4.  To address this problem, we propose an efficient
and scalable server architecture – Presence Cloud
 Presence Cloud organizes presence servers into
server-to-server architecture.
 The performance can be analyzed in terms of
search cost and search satisfaction level.

5.  3 popular commercial IM systems are : AIM,
Microsoft MSN, Yahoo! Messenger.
 They leverage some form of centralized clusters
 Centralized clusters are used to provide presence
services.
 Storing the presence information is the one of the
most messaging traffic in these instant messaging
systems.

6.  Peer – to- peer SIP has been proposed to remove
centralized server.
 And also P2PSIP reduces the maintenance costs
and failures in server based deployment.
 These clients are organized in DHT
 Thus presence cloud can support large scale social
network service among thousands of servers,

7.  Processor - Pentium – 3
 Speed - 1.1 GHz
 RAM - 256 MB
 Hard Disk - 20 GB
 Floppy Drive - 1.44 MB
 Key Board - Standard Windows Key
Board
 Mouse - Two or Three button mouse
 Monitor - SVGA

8.  Operating System - windows95/98/2000/XP
 Application Server - Tomcat 5.0/6.x
 Front End - HTML, Java, JSP
 Scripts - Java Script
 Server side scripts - Java server pages
 Database - MySQL
 Database Connectivity - JDBC

9. The modules we are discussing in this context are ::
 Presence Cloud serve overlay
 One – hop caching stratege
 Directed Buddy Search

10. PRESENCE CLOUD SERVER OVERLAY :
• This construction algorithm organizes ps nodes in to
server – to – server overlay.
• It provides a good low diameter property.
• It ensure that a ps node needs only two hops.
ONE HOP CACHING STRATEGY :
• To improve the efficiency, presence cloud requires a
caching strategy

11. • In Presence Cloud, each PS node maintains a
user list of presence information of the attached
users.
• The cache is updated when neighbours
establishes a connection to it. And it updated
periodiaclly with it neighbours.
• Therefore, when any PS node recieves a query,
it can respond not only with its own user list. But
also matches in the user lists offered by all of its
neighbours.

12. • Minimizing the searching response time is important in presence
services
• By organizing the PS nodes into server-to-server overlay network,
we can efficiently respond to the queries and can reduce the network
traffic.
• By capitalizing one – hop caching, that it maintains user list of
neighbors, we can improve response time by increasing the chances
of finding buddies.
•Clearly, this mechanism reduces both network traffic and response
time.
DIRECTED BUDDY SEARCH :

13. SCREEN 1
ADMIN LOGIN
PAGE

14. SCREEN 2
SELECTING
PRESENCE
SERVER
LOCATION

15. SCREEN 3
UPLOADING DATA
IN SERVER

16. SCREEN 4
USER
REGISTRATION

17. SCREEN 5
USER LOGIN PAGE

18. SCREEN 6
SEARCHING FOR
HOTELS IN USER
LOCATION

19. SCREEN 7
SEARCH RESULTS
FROM PRESENCE
SERVERS

20. SCREEN 8
USERS’S DESIRED
RESULT WITH
LANDMARK

21. SCREEN 9
USER REVIEW
PAGE

22.  Presence cloud Supports mobile presence
services in large-scale social network services.
 It achieves major performance gains in terms
of the search cost and search satisfaction.

23.  Facebook, http://www.facebook.com.
 Twitter, http://twitter.com.
 Foursquare http://www.foursquare.com.
 Google latitude,
http://www.google.com/intl/enus/latitude/intro.html.
 Buddycloud, http://buddycloud.com.
 Mobile instant messaging,
http://en.wikipedia.org/wiki/Mobileinstant messaging.