Design and Implementation of a Distributed Computing Framework
Table Of Contents
- 1.Introduction
- 1.1Background and Motivation
- 1.2Objectives and Contributions
- 2.Literature Review
- 2.1Overview of Distributed Computing Paradigms
- 2.2Analysis of Existing Distributed Computing Frameworks
- 3.System Architecture and Design
- 3.1Task Scheduling and Load Balancing Strategies
- 3.2Fault Tolerance and Error Handling Mechanisms
- 3.3Resource Management and Allocation Policies
- 4.Implementation
- 4.1Selection of Distributed Computing Tools and Libraries
- 4.2Development of Core Framework Components
- 5.Scalability and Performance Optimization
- 5.1Parallel Processing and Distributed Task Execution
- 5.2Latency Reduction and Network Communication Optimization
Thesis Abstract
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.
Thesis Overview
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