Optimization of computer network performance using machine learning
Table Of Contents
<p>1. Introduction<br> 1.1 Challenges in optimizing computer network performance<br> 1.2 Objectives of the project<br>2. Literature Review<br> 2.1 Overview of network performance optimization techniques<br> 2.2 Machine learning applications in network management<br> 2.3 Related research and developments<br>3. System Design<br> 3.1 Data collection and feature extraction<br> 3.2 Machine learning models for performance prediction<br> 3.3 Dynamic network parameter adjustment<br>4. Implementation<br> 4.1 Selection of machine learning algorithms<br> 4.2 Integration with network management systems<br> 4.3 Testing and validation<br>5. Results and Discussion<br> 5.1 Performance improvement analysis<br> 5.2 Comparison with traditional optimization methods<br></p>
Thesis Abstract
<p> This project focuses on the application of machine learning techniques to optimize the performance of computer networks. The project aims to develop algorithms that can analyze network traffic patterns, predict network congestion, and dynamically adjust network parameters to improve overall performance. The project will address the increasing complexity and scale of modern computer networks and the need for intelligent and adaptive optimization mechanisms. <br></p>Thesis Overview
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