- by Gersi Mirashi
- February 3, 2023
Backup & Data Recovery in Cloud Computing: A Systematic Mapping Study
by, Msc. Roland PLAKA
Abstract
Context: Digital data is being stored in large quan- tities in Cloud, requiring data backup and recovery services. Due to many factors such as disasters and other disruptive events, the risk of data loss is huge. Therefore, backup and data recovery are essential and effective in improvement of system availability and maintaining Business Continuity. Nevertheless, the process to achieve the goal of business uninterrupted faces many challenges regarding data security, integrity and failure prediction. Objective: This paper has the following goals: analyzing systematically the current published research and presenting the most common factors leading to the need of Disaster Recovery and backup plan; investigating and identifying the adopted solutions and techniques to prevent data loss; and lastly, investigating the influence Data Recovery and Backup has in terms of business continuity and identifying the privacy and security issues regarding disaster recovery process. Method: A systematic mapping study was conducted, in which 45 papers, dated from 2010 to 2020 were evaluated. Results: A set of 45 papers is selected from an initial search of 250 papers, including 10 papers from snowball sampling, following the references from some paper of interest. These results are categorized based on the relevant research questions, such as causes of disasters, data loss, business continuity, and security and privacy issues. Conclusion: An overview of the topic is presented by investigating and identifying the following features: challenges, issues, solutions, techniques, factors, and effects regarding the backup and recovery process.
Keywords: Cloud Computing, Backup, Data Recovery, Disaster Recovery, Data loss, Business Continuity, Data Security, Data Privacy.
How to cite: Plaka, R. (2022). Backup & Data Recovery in Cloud Computing: A Systematic Mapping Study. Ingenious, 2(1), 94–113.
https://doi.org/10.58944/pwhk4843
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.