Optimized Data Storage Using Sharding Method in Block Chain

V. S. Nalawade, Aniket Chavan, Prathamesh Palve and Omkar Salunkhe

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 10, 82-86

Abstract: The sharding scheme is highly useful and an effective mechanism to improve the storage and improve the volume of the database. Majority of the data being stored across the world is stored in conventional techniques in servers and workstations. As the amount of data keeps increasing every single day, these systems need to be able to scale up and allow for more data storage within the existing infrastructure. This is a big challenge as the conventional approaches are not as effective in achieving the scaling of the storage infrastructure with certain limitations that are inherent towards a centralized implementation of the databases. Therefore, the utilization of the decentralized sharding mechanism can help in achieving effective scalability and improved volume of the storage. The conventional approaches for the purpose of achieving the scaling of the existing database architecture are not sufficient for the current influx of data. Data nowadays has increased in value and volume that demands for an improvement in the infrastructure to be able to store more data efficiently and with improved security.

Keywords: Blockchain; Linear Clustering; Bilinear Pairing; Data Sharding (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2361014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT2361014 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT2361014.pdf 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:jbh:ijsrcs:v9:y2023:i10:id:hcseit2361014

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().