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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
BestPeer++: A Peer-to-Peer Based Large-Scale Data 
Processing Platform 
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: 
 Such a warehousing solution has some deficiencies in real deployment. 
 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). 
 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: 
 Most of the data warehouse solutions fail to offer such flexibilities. 
 Solution has not been designed to handle such dynamicity. 
PROPOSED SYSTEM: 
 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. 
 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: 
 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. 
 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. 
 BestPeer++ extends the role-based access control for the inherent distributed 
environment of corporate networks.
 BestPeer++ employs P2P technology to retrieve data between business 
partners. 
 BestPeer++ is a promising solution for efficient data sharing within 
corporate networks. 
SYSTEM ARCHITECTURE: 
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS: 
 System : Pentium IV 2.4 GHz. 
 Hard Disk : 40 GB. 
 Floppy Drive : 1.44 Mb. 
 Monitor : 15 VGA Colour. 
 Mouse : Logitech. 
 Ram : 512 Mb. 
SOFTWARE REQUIREMENTS: 
 Operating system : Windows XP/7. 
 Coding Language : JAVA/J2EE 
 IDE : Netbeans 7.4 
 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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IEEE 2014 JAVA DATA MINING PROJECTS Best peer++ a peer to-peer based large-scale data processing platform

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com BestPeer++: A Peer-to-Peer Based Large-Scale Data Processing Platform 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
  • 2. 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:  Such a warehousing solution has some deficiencies in real deployment.  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).  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:  Most of the data warehouse solutions fail to offer such flexibilities.  Solution has not been designed to handle such dynamicity. PROPOSED SYSTEM:  The main contribution of this paper is the design of BestPeer++ system that provides economical, flexible and scalable solutions for corporate network
  • 3. 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.  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:  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.  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.  BestPeer++ extends the role-based access control for the inherent distributed environment of corporate networks.
  • 4.  BestPeer++ employs P2P technology to retrieve data between business partners.  BestPeer++ is a promising solution for efficient data sharing within corporate networks. SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS:
  • 5. HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7.  Coding Language : JAVA/J2EE  IDE : Netbeans 7.4  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.