Document Type

Article

Source of Publication

International Journal of Data and Network Science

Publication Date

9-1-2024

Abstract

A large-scale cloud data center must have a low failure incidence rate and great service dependability and availability. However, due to several issues, such as hardware and software malfunctions that regularly cause task and job failure, large-scale cloud data centers still have high failure rates. These mistakes can have a substantial impact on cloud service dependability and need a large resource allocation to recover from failures. Therefore, it is important to have an efficient management of data recovery to protect organizations data from loss. This paper aims to study some factors that may improve the management of data recovery by using quantitative research design as a methodology. The results of hypothesis testing give strong evidence supporting the positive and significant correlations between the proposed hypotheses and the efficiency of data management recovery. This study finds that the presence of a data center in an organization de-mands the development of a solid plan for the most effective usage of a software program to handle data recovery.

ISSN

2561-8148

Publisher

Growing Science

Volume

8

Issue

4

First Page

2539

Last Page

2546

Disciplines

Computer Sciences

Keywords

Data backup, Data center, Data recovery, Network security, Reliability

Scopus ID

85199435714

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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