Optimization of Cloud Storage Systems for Data Deduplication
Table Of Contents
1. Introduction
- Background and Significance
- Objectives of the Project
2. Literature Review
- Overview of Cloud Storage Systems
- Data Deduplication Techniques
- Existing Approaches to Cloud Storage Optimization
3. System Architecture and Design
- Requirements Analysis for Cloud Storage Optimization
- Selection of Deduplication Algorithms
- Integration with Cloud Storage Infrastructure
4. Implementation
- Development Environment and Tools
- Deduplication Algorithm Implementation
- Integration with Cloud Storage Platform
5. Testing and Evaluation
- Test Scenarios and Methodology
- Performance Evaluation
- Storage Utilization Analysis
Thesis Abstract
This project focuses on optimizing cloud storage systems through the implementation of data deduplication techniques. The goal is to reduce storage costs and improve data transfer efficiency by identifying and eliminating redundant data across the cloud storage infrastructure. The project will explore various deduplication algorithms and their impact on storage utilization, data access speed, and overall system performance in a cloud environment.
Thesis Overview
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