Optimizing Memory management and Data Recovery Efficiency by Categorizing Backup Metadata

Bothe, Niketan Ravindra (2023) Optimizing Memory management and Data Recovery Efficiency by Categorizing Backup Metadata. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing is actually needed in the world of computing due to the enormous amount of data. In recent years, cloud storage has emerged as one of the finest solutions for keeping big amounts of data due to lower maintenance costs and ease of access from anywhere over the internet. Due to the increased demand for cloud storage, a variety of services are now offered by third-party organisations. However, while the cloud might be less expensive, the cost of significant services or storage can rise. After completing the study, it was discovered that the major reason for wasting the memory is storing the similar data on cloud. The study focuses on data deduplication algorithms such as CAP, HAR, and others. The CAP method is regarded as one of the excellent technique for deduplication check, although it has significant faults, which are highlighted in this work. This study focuses not only on data deduplication but also on enhancing the accuracy of deduplication checks and increasing backup and restore performance. The main focus of this research is how I can provide the security as well as reduce the time for taking backup and restoring the deduplicate data. This research will highlight several essential analyses relevant to parallel processing that will be covered in this study, along with the scope of the project.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Kazmi, Aqeel UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	18 Apr 2023 14:30
Last Modified:	18 Apr 2023 14:30
URI:	https://norma.ncirl.ie/id/eprint/6463

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