Untangling Blockchain: A Data Processing View Of Blockchain Systems

Prerna Siddharth Ingle , Prof V. A. Losarwar

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Blockchain technology is gaining popularity in recent years. Blockchain is an accounting accounting system that helps parties that do not trust each other to maintain a set of states around the world. The parties coincided with the existence, values and history of the state. Because technology is expanding rapidly, it is important and challenging to fully understand what central technology offers, especially about data processing capabilities. In this article, we will first explore the state of the art by focusing on the private chain. We analyze production and research systems in four dimensions: accounting, distribution, encryption, protocol, consensus and smart contracts[1].Then we will present BLOCKBENCH, a comparison framework to understand the effectiveness of private blogs and data processing workloads. We carry out a comprehensive evaluation of the three main blockchain systems using BLOCKBENCH, including Ethereum, Parity and Hyperledger Fabric. The results show many exchanges in the design area, including a large gap between the blockchain system and the system. Database based on the design principles of the database system, we will analyze several research approaches to increase the efficiency of the block chain as close as possible to the scope of the database.

Published Paper   E-Certificate

"Untangling Blockchain: A Data Processing View Of Blockchain Systems", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.205 - 211, July-2019, Available :https://ijsdr.org/papers/IJSDR1907035.pdf

Volume 4 Issue 7, July-2019

Pages : 205 - 211

Paper Reg. ID: IJSDR_190781

Published Paper Id: IJSDR1907035

Downloads: 000347186

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1907035

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1907035

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition