International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development

( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

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Large-Scale Data Processing Platform Based an a Peer-to-Peer Platform

    International Journal of Scientific Research and Engineering Development (IJSRED)

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Published Issue : Volume-4 Issue-2
Year of Publication : 2021
Unique Identification Number : IJSRED-V4I2P114
Authors : Mattam Ajay Kumar, Siddapu Nagaraju
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Abstract :

The corporate organization is frequently utilized for sharing data among the participating companies and facilitating collaboration in a certain industry sector where companies share a common premium. It can effectively help the companies to reduce their operational costs and increase the incomes. However, the between company information sharing and processing presents novel challenges to such an information the executives system including scalability, performance, throughput, and security. In this paper, we present Best Peer++, a system which conveys elastic information sharing services for corporate organization applications in the cloud based on Best Peer - a distributed (P2P) based information the executives stage. By incorporating cloud computing, data set, and P2P technologies into one system, Best Peer++ gives an economical, adaptable and scalable stage for corporate organization applications and conveys information sharing services to participants based on the generally accepted pay-more only as costs arise business model. We assess Best Peer++ on Amazon EC2 Cloud stage. The benchmarking results show that Best Peer++ outflanks Hardtop DB, a recently proposed enormous scale information processing system, in performance when both systems are utilized to handle typical corporate organization workloads. The benchmarking results additionally exhibit that Best Peer++ achieves close to direct scalability for throughput with respect to the quantity of companion hubs.