ABSTRACT:
This paper introduces cooperative caching policies
for minimizing electronic content provisioning cost in Social Wireless Networks
(SWNET).SWNETs are formed by mobile devices, such as data enabled phones,
electronic book readers etc., sharing common interests in electronic content,
and physically gathering together in public places. Electronic object caching
in such SWNETs are shown to be able to reduce the content provisioning cost
which depends heavily on the service and pricing dependences among various
stakeholders including content providers (CP), network service providers, and
End Consumers (EC). Drawing motivation from Amazon’s Kindle electronic book
delivery business, this paper develops practical network, service, and pricing
models which are then used for creating two object caching strategies for
minimizing content provisioning costs in networks with homogenous and heterogeneous
object demands. The paper constructs analytical and simulation models for
analyzing the proposed caching strategies in the presence of selfish users that
deviate from network-wide cost-optimal policies. It also reports results from
an Android phone based prototype SWNET, validating the presented analytical and
simulation results.
EXISTING SYSTEM:
With the existence of such SWNETs, an alternative
approach to content access by a device would be to first search the local SWNET
for the requested content before downloading it from the CP’s server. The
expected content provisioning cost of such an approach can be significantly
lower since the download cost to the CSP would be avoided when the content is
found within the local SWNET. This mechanism is termed as cooperative caching. In
order to encourage the End-Consumers (EC) to cache previously downloaded
content and to share it with other end-consumers, a peer-to-peer rebate
mechanism is proposed. This mechanism can serve as an incentive so that the end-consumers
are enticed to participate in cooperative content caching in spite of the
storage and energy costs. In order for cooperative caching to provide cost
benefits, this peer-to-peer rebate must be dimensioned to be smaller than the
content download cost paid to the CSP. This rebate should be factored in the
content provider’s overall cost.
DISADVANTAGES
OF EXISTING SYSTEM:
Due to their limited storage, mobile handheld
devices are not expected to store all downloaded content for long. This means
after downloading and using a purchased electronic content, a device may remove
it from the storage.
PROPOSED SYSTEM:
In this paper drawing motivation from Amazon’s
Kindle electronic book delivery business, this paper develops practical
network, service, and pricing models which are then used for creating two
object caching strategies for minimizing content provisioning costs in networks
with homogenous and heterogeneous object demands. The paper constructs
analytical and simulation models for analyzing the proposed caching strategies in
the presence of selfish users that deviate from network-wide cost-optimal
policies. It also reports results from an Android phone based prototype SWNET,
validating the presented analytical and simulation results.
ADVANTAGES
OF PROPOSED SYSTEM:
·
Based on a practical service and pricing
case, a stochastic model for the content provider’s cost computation is
developed.
·
A cooperative caching strategy, Split
Cache, is proposed, numerically analyzed, and theoretically proven to provide
optimal object placement for networks with homogenous content demands.
·
A benefit-based strategy, Distributed
Benefit, is proposed to minimize the provisioning cost in heterogeneous
networks consisting of nodes with different content request rates and patterns.
·
The impacts of user selfishness on
object provisioning cost and earned rebate is analyzed.
SYSTEM CONFIGURATION:-
HARDWARE REQUIREMENTS:-
ü Processor - Pentium –IV
ü Speed - 1.1 Ghz
ü RAM - 512 MB(min)
ü Hard
Disk - 40 GB
ü Key
Board - Standard Windows Keyboard
ü Mouse - Two or Three Button Mouse
ü Monitor - LCD/LED
SOFTWARE REQUIREMENTS:-
v Operating
System : LINUX
v Tool : Network
Simulator-2
v Front
End : OTCL (Object
Oriented Tool Command Language)
REFERENCE:
Mahmoud Taghizadeh,Member, IEEE, Kristopher
Micinski, Member, IEEE, Charles Ofria, Eric Torng, and Subir Biswas,Senior
Member, IEEE “Distributed Cooperative Caching in Social Wireless Networks”-
IEEE TRANSACTIONS ON
MOBILE COMPUTING, VOL. 12, NO. 6, JUNE 2013.
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