Optimization of Data Compression Algorithms for Efficient Storage
Table Of Contents
<p>1. Introduction<br> 1.1 Background and Motivation<br> 1.2 Objectives<br> 1.3 Scope and Challenges<br>2. Literature Review<br> 2.1 Data Compression Techniques<br> 2.2 Compression Algorithms and Standards<br> 2.3 Performance Metrics and Trade-offs<br>3. Algorithm Optimization<br> 3.1 Compression Ratio Improvement<br> 3.2 Speed and Throughput Enhancement<br> 3.3 Adaptability to Data Characteristics<br>4. Experimental Setup<br> 4.1 Benchmark Datasets and Workloads<br> 4.2 Performance Evaluation Metrics<br> 4.3 Comparative Analysis<br>5. Results and Analysis<br> 5.1 Compression Efficiency<br> 5.2 Impact on Data Retrieval and Processing<br></p>
Thesis Abstract
<p> This project aims to optimize data compression algorithms to achieve efficient storage of large volumes of data. The project will focus on enhancing the compression ratio, speed, and adaptability of existing compression techniques to accommodate diverse data types and workloads. The optimized algorithms will be evaluated based on their performance in reducing storage requirements while minimizing the impact on data retrieval and processing. The project seeks to contribute to the development of more effective and resource-efficient data storage solutions. <br></p>Thesis Overview
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