SocialTube:
P2P-assisted Video Sharing inOnline Social Networks
ABSTRACT:
Video sharing has been an increasingly
popular application in online social networks (OSNs). However, its sustainable development
is severely hindered by the intrinsic limit of the client/server architecture
deployed in current OSN video systems, which is not only costly in terms of
server bandwidth and storage but also not scalable with the soaring amount of
users and video content. The peer-assisted Video-on-Demand (VoD) technique, in
which participating peers assist the server in delivering video content has
been proposed recently. Unfortunately, videos can only be disseminated through
friends in OSNs. Therefore, current VoD works that explore clustering nodes
with similar interests or close location for high performance are suboptimal,
if not entirely inapplicable, in OSNs. Based on our long-term real-world
measurement of over 1,000,000 users and 2,500 videos on Facebook, we propose
SocialTube, a novel peer-assisted video sharing system that explores social
relationship, interest similarity, and physical location between peers in OSNs.
Specifically, SocialTube incorporates four algorithms: a social network
(SN)-based P2P overlay construction algorithm, a SN-based chunk prefetching algorithm,
chunk delivery and scheduling algorithm, and a buffer management algorithm.
Experimental results from a prototype on PlanetLab and an event-driven
simulator show that SocialTube can improve the quality of user experience and
system scalability over current P2P VoD techniques.
EXISTING SYSTEM:
In recent years, much effort has been devoted to
improving the client/server architecture for video sharing, with the
peer-to-peer (P2P) architecture being the most promising. P2P-based video
sharing has been used in on-demand video streaming (e.g., GridCast and
Vanderbilt VoD). With each peer contributing its bandwidth to serving others,
the P2P architecture provides high scalability for large user bases. Previous
P2P VoD systems either randomly cluster peers for video inquiry or form certain
peers into a distributed hash table (DHT) for chunk indexing.
DISADVANTAGES
OF EXISTING SYSTEM:
Videos can only be disseminated through friends in
OSNs
PROPOSED SYSTEM:
We propose SocialTube, a system that explores the
social relationship, interest similarity and location to enhance the
performance of video sharing in OSNs. Specifically, an OSN has a social network
(SN)-based P2P overlay construction algorithm that clusters peers based on
their social relationships and interests. Within each cluster, nodes are
connected by virtue of their physical location in order to reduce video
transmission latency. SocialTube also incorporates an SN-based chunk
prefetching algorithm to minimize video playback startup delay.
ADVANTAGES
OF PROPOSED SYSTEM:
To our knowledge, this work is the first that
studies the distinct characteristics of OSN video sharing that vary from other
content-based system-wide video sharing, and builds a P2P-based video sharing
system in an OSN by leveraging those characteristics for higher performance.
SYSTEM ARCHITECTURE:
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
ü Processor - Pentium –IV
ü Speed - 1.1
Ghz
ü RAM - 256
MB(min)
ü Hard Disk -
20 GB
ü Key Board -
Standard Windows Keyboard
ü Mouse - Two
or Three Button Mouse
ü Monitor - SVGA
SOFTWARE CONFIGURATION:-
ü Operating System : Windows XP
ü Programming Language :
JAVA/J2EE.
ü Java Version :
JDK 1.6 & above.
ü Database :
MYSQL
REFERENCE:
Haiying Shen*, Senior Member, IEEE, Ze Li, Student Member, IEEE, Yuhua Lin
and Jin Li, Fellow, IEEE, “SocialTube: P2P-assisted Video Sharing in Online Social
Networks”, IEEE TRANSACTIONS ON PARALLEL
AND DISTRIBUTED SYSTEMS, 2013.
