An efficient peer-to-peer platform for large scale data processing in network applications

The corporate system / network is frequently utilized for sharing data or information among the cloud in considering interest in organizations and encouraging cooperation in a certain industry segment where organizations share a common interest. It can adequately help the organizations to decrease their operational expenses and expand the revenues. Nonetheless, the inter-company (organization) information sharing and processing stances unique difficulties to such an information administration framework including adaptability, performance (execution), throughput, and security. In this paper, we introduce Best Peer, a framework or system which conveys elastic information sharing administrations or services for corporate system applications in the cloud related to Best Peer—a distributed (P2P) based information or data administration stage of platform. By incorporating cloud computing, database, and P2P innovative technologies into one system, Best Peer provides economical, adaptable and versatile stage for corporate system applications and conveys information sharing administrations or services to participants taking into account the generally acknowledged pay-as-you-go business model. We assess Best Peer on Amazon EC2 Cloud platform. The benchmarking results demonstrate that Best Peer beats Hadoop DB, an as of late proposed expansive scale information processing framework, in execution when both systems are utilized to handle average corporate system workloads. The benchmarking results likewise show that Best Peer accomplishes close linear scalability for throughput as for the number of peer nodes.