A Peer-To-Peer Data Processing Infrastructure That Operates On The Largest Scale

Abstract

In the corporate network, information may be exchanged throughout different businesses, making it simpler for those with common interests to collaborate. With its help, firms may be able to reduce overhead costs and increase revenue. As data is exchanged and processed across firms, it increases the complexity of implementing a scalable, high-performing, and secure data management system. This article presents BP++, an expansion of the BestPeer P2P data management platform that offers elastic data sharing services for cloud-based business network applications. BP++ integrates cloud computing, databases, and P2P technologies to provide its members with data sharing services under the well-known pay-as-you-go pricing model. For our BP++ tests, we make use of Amazon's EC2 cloud infrastructure. Benchmarks show that BP++ outperforms the recently proposed HadoopDB large-scale data processing solution when both systems are employed to handle typical business network demands. The results demonstrate that BP++ is quite efficient, with throughput scaling practically linearly with the number of peer nodes