Improving Data Accessibility with Distributed File System: A Blockchain Ethereum Approach
Sushanth Sreenivasamurthy Manakhari,
Ajinkya Prabhu Jadhav,
Twinkle Paraye and
Anurag Gate
Additional contact information
Sushanth Sreenivasamurthy Manakhari: Gannon University Erie, USA
Ajinkya Prabhu Jadhav: Gannon University, USA
Twinkle Paraye: Gannon University, USA
Anurag Gate: Santa Clara Univeristy, USA
European Journal of Information Technologies and Computer Science, 2024, vol. 4, issue 4, 7-12
Abstract:
In the evolving landscape of digital data management, blockchain technology emerges as a transformative force, particularly through its implementation within Ethereum. This paper delves into the role of Ethereum in enhancing data accessibility across distributed file systems. By leveraging the power of smart contracts, Ethereum introduces a level of automation and reliability previously unattainable in traditional systems. The integration of Ethereum with decentralized storage solutions like the Inter Planetary File System (IPFS) facilitates not only more transparent and efficient access to data but also augments security and trustworthiness. We explore the technical mechanisms by which Ethereum smart contracts automate data operations and how these interactions enhance system performance and user experience. Furthermore, the paper discusses the potential challenges and solutions associated with integrating blockchain technologies into existing data systems, thereby providing insights into their future implications for the global data economy. The findings indicate that Ethereum substantially increases accessibility, reduces operational bottlenecks, and could pave the way for new data governance models that are secure, efficient, and scalable.
Keywords: Blockchain; Data Accessibility; Data Governance; Decentralized Storage (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/compute/article/view/10133 Abstract page (text/html)
https://eu-opensci.org/index.php/compute/article/download/10133/1860 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:4:y:2024:i:4:id:10133
DOI: 10.24018/compute.2024.4.4.133
Access Statistics for this article
More articles in European Journal of Information Technologies and Computer Science from European Open Science
Bibliographic data for series maintained by Support Team ().