Autonomic approach for fault tolerance using scaling, replication and monitoring of servers in cloud computing

Inhaltsverzeichnis (Table of Contents)

• Abstract
• List of Figures
• List of Tables
• Chapter 1: Introduction
• 1.1: What is Cloud Computing
• 1.2: Benefits of Cloud Computing
• 1.3: Cloud Computing Services
• 1.4: Cloud Architecture
• 1.5: Cloud Virtualization
• Chapter 2: Literature Survey
• Chapter 3: Proposed System
• 3.1: Problem Statement
• 3.2: Proposed Framework
• 3.3: Implementation Details
• Chapter 4: Experimental Setup and Results
• 4.1: Performance Evaluation
• 4.2: Experimental Results
• Chapter 5: Conclusion

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This work aims to address the challenge of fault tolerance in cloud-based systems, which is crucial for maintaining reliable and available services for end users. The study explores autonomic approaches to manage fault tolerance, ensuring scalability, reliability, and availability in cloud environments.

• Fault tolerance in cloud computing
• Autonomic management of fault tolerance
• Scalability, reliability, and availability in cloud systems
• Implementation and evaluation of a fault-tolerant framework
• Use of tools like HAProxy, Nginx, MySQL, and Nagios for fault prevention and management

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides an introduction to cloud computing, outlining its definition, benefits, services, architecture, and virtualization aspects. Chapter 2 reviews relevant literature on fault tolerance in cloud systems. Chapter 3 presents the proposed framework for autonomic fault tolerance, including the problem statement, framework design, and implementation details. This chapter delves into the use of tools like HAProxy, Nginx, MySQL, and Nagios for load balancing, data replication, and monitoring. Chapter 4 outlines the experimental setup and results, focusing on the performance evaluation and validation of the proposed framework.

Schlüsselwörter (Keywords)

Cloud computing, fault tolerance, autonomic management, scalability, reliability, availability, HAProxy, Nginx, MySQL, Nagios, virtualization, load balancing, data replication, monitoring, performance evaluation.