Open AccessReduction of Spatial Overhead in Decentralized Cloud Storage using IDA
Author(s) -
P Suresh Babu,
K. Madhavi
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c2275.0210321
Subject(s) - overhead (engineering) , cloud storage , computer science , cloud computing , object storage , server , converged storage , decentralization , distributed data store , computer data storage , distributed computing , reduction (mathematics) , information repository , database , computer network , operating system , geometry , mathematics , law , political science
Decentralized cloud storage reflects a significant change in large-scale storage performance and economy. Removing central control enables users to store and exchange data without depending on third-party storage [16] providers. Decentralization reduces the possibility of data failures and outages while increasing object storage protection and privacy at the same time. Decentralized cloud storage is where individuals or groups encouraged to enter, store, and keep data available are stored on a decentralized network through several locations. The servers used, rather than a single organization, are hosted by individuals. In this paper, an information dispersal algorithm is applied on decentralized cloud storage to reduce spatial overhead, which provides more efficient performance compared to the existing methodologies.