Design and Implementation of a Distributed Computing Framework
Table Of Contents
<p>1. Introduction<br> 1.1 Background and Motivation<br> 1.2 Objectives and Contributions<br>2. Literature Review<br> 2.1 Overview of Distributed Computing Paradigms<br> 2.2 Analysis of Existing Distributed Computing Frameworks<br>3. System Architecture and Design<br> 3.1 Task Scheduling and Load Balancing Strategies<br> 3.2 Fault Tolerance and Error Handling Mechanisms<br> 3.3 Resource Management and Allocation Policies<br>4. Implementation<br> 4.1 Selection of Distributed Computing Tools and Libraries<br> 4.2 Development of Core Framework Components<br>5. Scalability and Performance Optimization<br> 5.1 Parallel Processing and Distributed Task Execution<br> 5.2 Latency Reduction and Network Communication Optimization<br></p>
Thesis Abstract
<p> This project focuses on the design and implementation of a distributed computing framework that enables the efficient execution of parallel and distributed tasks across a network of interconnected computing nodes. The framework will support task scheduling, load balancing, fault tolerance, and resource management to maximize computational throughput and minimize latency. The project aims to address the challenges of scalability, fault tolerance, and performance optimization in distributed computing environments. <br></p>Thesis Overview
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