ABSTRACT:
The corporate
network is often used for sharing information among the participating companies
and facilitating collaboration in a certain industry sector where companies share
a common interest. It can effectively help the companies to reduce their
operational costs and increase the revenues. However, the inter-company data
sharing and processing poses unique challenges to such a data management system
including scalability, performance, throughput, and security. In this paper, we
present BestPeer++, a system which delivers elastic data sharing services for
corporate network applications in the cloud based on BestPeer—a peer-to-peer
(P2P) based data management platform. By integrating cloud computing, database,
and P2P technologies into one system, BestPeer++provides an economical,
flexible and scalable platform for corporate network applications and delivers
data sharing services to participants based on the widely accepted
pay-as-you-go business model. We evaluate BestPeer++ on Amazon EC2 Cloud
platform.The benchmarking results show that BestPeer++ outperforms HadoopDB, a
recently proposed large-scale data processing system, in performance when both
systems are employed to handle typical corporate network workloads. The
benchmarking results also demonstrate that BestPeer++ achieves near linear
scalability for throughput with respect to the number of peer nodes.
EXISTING SYSTEM:
Ø Such a warehousing solution has some deficiencies in
real deployment.
Ø First, the corporate network needs to scale up to
support thousands of participants, while the installation of a large-scale
centralized data warehouse system entails nontrivial costs including huge
hardware/software investments (a.k.a total cost of ownership) and high
maintenance cost (a.k.a total cost of operations) . In the real world, most
companies are not keen to invest heavily on additional information systems
until they can clearly see the potential return on investment (ROI).
Ø Second,
companies want to fully customize the access control policy to determine which
business partners can see which part of their shared data.
DISADVANTAGES
OF EXISTING SYSTEM:
Ø Most of the data warehouse solutions fail to offer
such flexibilities.
Ø Solution has not been designed to handle such
dynamicity.
PROPOSED SYSTEM:
Ø The
main contribution of this paper is the design of BestPeer++ system that
provides economical, flexible and scalable solutions for corporate network
applications. We demonstrate the efficiency of BestPeer++ by benchmarking
BestPeer++ against HadoopDB, a recently proposed large-scale data processing
system, over a set of queries designed for data sharing applications. The
results show that for simple, low-overhead queries, the performance of
BestPeer++ is significantly better than HadoopDB.
Ø The unique challenges posed by sharing and processing
data in an inter-businesses environment and proposed BestPeer++, a system which
delivers elastic data sharing services, by integrating cloud computing,
database, and peer-to-peer technologies.
ADVANTAGES
OF PROPOSED SYSTEM:
Ø Our system can efficiently handle typical workloads in
a corporate network and can deliver near linear query throughput as the number
of normal peers grows.
Ø BestPeer++
adopts the pay-as-you-go business model popularized by cloud computing. The
total cost of ownership is therefore substantially reduced since companies do
not have to buy any hardware/software in advance. Instead, they pay for what
they use in terms of BestPeer++ instance’s hours and storage capacity.
Ø BestPeer++
extends the role-based access control for the inherent distributed environment
of corporate networks.
Ø BestPeer++
employs P2P technology to retrieve data between business partners.
Ø BestPeer++ is a promising solution for efficient data
sharing within corporate networks.
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
Ø
System : Pentium IV 2.4 GHz.
Ø
Hard Disk :
40 GB.
Ø
Floppy Drive : 1.44
Mb.
Ø
Monitor : 15
VGA Colour.
Ø
Mouse :
Logitech.
Ø Ram : 512 Mb.
SOFTWARE
REQUIREMENTS:
Ø Operating system : Windows
XP/7.
Ø Coding Language : JAVA/J2EE
Ø IDE : Netbeans 7.4
Ø Database : MYSQL
REFERENCE:
Gang Chen,
Tianlei Hu, Dawei Jiang, Peng Lu, Kian-Lee Tan, Hoang Tam Vo, and Sai Wu, “BestPeer++:
A Peer-to-Peer Based Large-Scale Data Processing Platform”,VOL. 26,NO. 6, JUNE
2014.
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