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International Journal of Computer Trends and Technology (IJCTT) volume 14 number 3 Aug 2014
ISSN: 2231-2803 http://www.ijcttjournal.org Page110
Cloud MOV: Cloud-Based Mobile Social Television
Basa Susheel Kumar, (M.Tech) CSE Dept., KCEA, Nizamabad,
Abstract:
The quickly increasing power of individual mobile
devices is given that much richer stuffing and social
communications to customer on the move. This drift
however is throttled by the some degree of battery
lifetime of mobile devices and uneven wireless
connectivity, making the highest potential quality of
service experience by mobile users not viable. The recent
cloud computing technology, with its well-off income to
recompense for the confines of mobile devices and links,
can potentially offer an ideal platform to sustain the
preferred mobile services. Tough defy arise on how to
successfully develop cloud resources to make easy
mobile services, in particular those with rigorous
interaction holdup necessities. In this paper, we offer the
blueprint of a Cloud depended, narrative Mobile social
television method.
I. INTRODUCTION
Thanks to the ground-breaking re-inventing the phone
operation set off by Apple Inc. in 2007, smartphones
nowadays are distributed with gigabyte RAMs and
several microprocessor cores; they own more working out
power than individual computers before past few years.
On the additional hand, the wide use of 3G broadband
cellular infrastructures additional fuels the tendency.
Apart from frequent efficiency errands like emails and
web surfing, smartphones are bend their strengths in
additional demanding situation such as concurrent video
streaming and online gaming, as well as portion as a main
tool for social communications.
Although many mobile social or media request have
materialize truely killer ones ahead mass reception are
Maddikunta Laxman, M.Tech Head of the Department, KCEA, Nizamabad,
still delay by the boundaries of the current mobile and
wireless technologies, amid which battery lifetime and
uneven connection bandwidth are the most intricate ones.
It is natural to remedy to cloud computing, the newly-
emerged computing pattern for low-cost, agile, scalable
reserve make available, to hold up power-efficient mobile
data communication. With virtually countless hardware
and software possessions, the cloud can relieve of the
computation and other tasks mixed up in a mobile
application and may notably reduce battery using up at the
mobile devices, if a proper plan is in position. The giant
task for us in front is how to in fact exploit cloud services
to smooth the progress of mobile applications. There have
been a not many studies on manipulative cloud computing
systems of mobile, but none of them agreement in
particular with tough delay requirements for unstructured
social interactivity among mobile users. In this document,
we describe the blueprint of a novel mobile social
television scheme, CloudMoV that can successfully utilize
the cloud computing pattern to offer a living-room
familiarity of video examination to different mobile users
with impulsive social interactions. In CloudMoV, mobile
users can introduction on-demand or live video to observe
starting any site of video streaming, for friends invitation
to monitor the video concurrently, and chat with their
friends while have the benefit of the video. It therefore
unify viewing familiarity and social attentiveness among
friends on the go. As divergent to traditional television
seeing, mobile social television is well suitable to todays
life style, where people and friends may be divided
geographically but anticipate sharing a co-viewing
incidence. While social television permitted by set-top
International Journal of Computer Trends and Technology (IJCTT) volume 14 number 3 Aug 2014
ISSN: 2231-2803 http://www.ijcttjournal.org Page111
boxes in excess of the traditional television systems is
already obtainable, it leftovers a test to achieve mobile
social television, where the parallel viewing experience
with friends is permit on mobile devices.
II. PROBLEM STATEMENT
A number of mobile TELEVISION systems have sprung
up in current years, determined by both hardware and
software advance in mobile devices. Some early systems
fetch the living room occurrence to tiny screens be in
motion. But they focal point more on barricade clearance
in order to realize the union of the television set-up and
the mobile set-up, than explore the demand of social
relations among mobile users.
Proposed system:
We suggest the Cloud-based design a, novel Mobile
social television system. The system in effect employ
both PaaS (Platform-as-a-Service) and IaaS
(Infrastructure-as a- Service) cloud services to present the
living-room knowledge of video surveillance to a group
of unequal mobile users who can interrelate socially while
division the video. To pledge good torrent eminence as
qualified by the mobile users with time unstable wireless
connectivity, we employ a deputy for each user in the
IaaS cloud for record downloading and social
relationships on behalf of the user.
III. SYSTEM DEVELOPMENT:
MODULE DESCRIPTION:
Transcoder: It inhabits in each proxy, and is liable for
vigorously settle on how to predetermine the video
tributary from the video source in the suitable format,
dimension, and bit rate. Before relief to the user, the video
stream is further summarize into a suitable transport
stream. Each video is send abroad as MPEG-2 transfer
streams, which is the de facto typical nowadays to deliver
digital video and audio streams over lossy intermediate.
Social Cloud: Social network is a energetic virtual
organization with inbuilt trust relationships between
associates. This dynamic virtual organization can be
twisted since these social networks echo dh real world
dealings. It allows client to interact, form associates and
share in rank with one an extra. This hope can be used as a
charity for information, hardware and services division in a
Social Cloud.
Messenger: It is the client side of the social cloud, exist in
in each substitute in the IaaS cloud. The courier
periodically queries the social cloud for the social
information on behalf of the mobile user and pre-processes
the data into a light-weighted set-up (plain text files), at a
much subordinate frequency. The plain text files are
asynchronously convey from the proxy to the user in a
traffic-friendly advance i.e., little traffic is gain In the
reverse direction, the messenger publicize this users
messages (invitations and chat messages) to other users via
the information store of the social cloud.
Gateway: The gateway make available authentication
services for client to log in to the CloudMoV system, and
stores users identification in a stable table of a MySQL
database it has bed in It also stores in sequence of the pool
of presently available VMs in the IaaS cloud in another
memorial table. After a user effectively logs in to the
scheme, a VM proxy will be allocate from the pool to the
user. The memorial table is used to assurance small query
latencies, since the VM pool is rationalized commonly as
the gateway coffers and destroys VM circumstance
according to the modern workload. In calculation, the
gateway also provisions each users friend list in a simple
text file (in XML formats), which is right away uploaded
to the proxy after it is assigned to the user.
Subscribe: In this Subscribe module client can download
the video. Pledge module can download video in maximum
speed and clear/plain video streaming. Allowed client can
download and watch/enjoy the videos.
IV. RELATED WORK
A. Measuring the RRC States: To find out the critical inactivity timers timeout values we
initially plan measurement tests employed in 3G network
International Journal of Computer Trends and Technology (IJCTT) volume 14 number 3 Aug 2014
ISSN: 2231-2803 http://www.ijcttjournal.org Page112
3HKs. We arranged logging operations on iPhone 4S
which is fully charged and use the Mobile Safari to watch
a video in YouTube make use of CloudMoV services. The
consumption of battery mark outs on the cell are
silhouetted by Instruments, a commanding tool of
Xcode [32]. The video playback rate is about 254 Kbps
on the phone. On the phone over time the consumption
levels of power, portions in terms of the maximum power
level of device. The red vertical lines signify the playback
periods opening points of when the Safari operates in the
forefront, and the green lines stand for the playback
periods end times when the Safari is removed in the
background. We can observe that our state transition
model. Confirmed by these real-world dimensions: when
there is information transmission, the device processes at
the maximum power