Reduction of Spatial Overhead in Decentralized Cloud Storage using IDA
P Suresh Babu1, K Madhavi2
1P Suresh Babu*, Department of Computer Science, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India.
2Dr. Madhavi Kasa, Department of Computer Science & Engineering, Jawaharlal Nehru Technological University, Anantapur of Anantapuramu, Andhra Pradesh, India
Manuscript received on February 20, 2021. | Revised Manuscript received on February26, 2021. | Manuscript published on February 28, 2021. | PP: 176-179 | Volume-10 Issue-3, February 2021. | Retrieval Number: 100.1/ijeat.C22750210321 | DOI: 10.35940/ijeat.C2275.0210321
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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  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.
Keywords: Decentralized Cloud Storage, Information Dispersal Algorithm, Spatial Overhead