Optimization of cloud storage systems for data versioning and rollback
Table Of Contents
<p>1. Introduction<br> 1.1 Background<br> 1.2 Motivation<br> 1.3 Objectives<br>2. Literature Review<br> 2.1 Cloud Storage Systems<br> 2.2 Data Versioning and Rollback<br> 2.3 Related Work<br>3. System Design<br> 3.1 Version Control Mechanisms<br> 3.2 Data Recovery Strategies<br> 3.3 Consistency and Integrity Checks<br>4. Implementation<br> 4.1 Versioning Algorithms<br> 4.2 Rollback Procedures<br> 4.3 Data Consistency Validation<br>5. Performance Evaluation<br> 5.1 Versioning Overhead<br> 5.2 Recovery Time<br></p>
Thesis Abstract
<p> </p><div>Cloud storage systems often lack efficient mechanisms for data versioning and rollback, which are crucial for data integrity and recovery. This project focuses on optimizing cloud storage systems to support seamless data versioning and rollback functionalities. The proposed system will enable users to track changes to their data, revert to previous versions, and ensure data consistency and reliability in cloud environments.</div><br> <br><p></p>Thesis Overview
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