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

Table of Contents

1. INTRODUCTION

1.1. Cloud Computing Evolution

1.2. Introduction to Cloud Computing

1.3. Characteristics of Cloud Computing

1.4. Cloud Computing Services

1.4.1. Software as a Service (SAAS)

1.4.2. Platform as a Service (PAAS)

1.4.3. Infrastructure as a Service (IAAS)

1.5. Deployment Models of Cloud Computing

1.5.1. Public cloud

1.5.2. Private Cloud

1.5.3. Community Cloud

1.5.4. Hybrid Cloud

1.6. Layered Architecture of Cloud Computing

1.7. Research Issues in Cloud Computing

1.8. Virtualization

1.8.1. Overview of X86 Virtualization

1.8.2. CPU Virtualization

1.9. Introduction to Fault Tolerance

1.9.1. Importance of Fault Tolerance in Cloud Environment

1.9.2. Management of Fault tolerance

1.9.3. Fault Tolerance Techniques

1.10. Structure of Thesis

2. LITERATURE SURVEY

3. PRESENT WORK

3.1. Problem Definition

3.2. Objectives

3.3. Framework Design

3.3.1 Vmware Workstation

3.3.2 Ubuntu

3.3.3 Haproxy

3.3.4 Docker

3.3.5 Servlet Application

3.3.6 Nginx

3.3.7 MySQL Database

3.3.8 Nagios

3.4. Interaction Diagram

3.5. Implementation of the Framework

4. RESULTS AND DISCUSSION

5. CONCLUSIONS AND FUTURE SCOPE

Objectives & Core Themes

This thesis addresses the critical challenge of fault tolerance in cloud computing environments. The primary research objective is to develop an autonomic framework that manages and recovers from faults proactively, thereby ensuring high scalability, reliability, and continuous service availability for end users.

• Proactive fault detection and automated load balancing
• System-level and OS-level virtualization for high availability
• Master-master database replication for data consistency
• Automated 24/7 infrastructure monitoring

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Summary of Chapters

INTRODUCTION: Provides an overview of cloud computing evolution, service models, deployment architectures, and the fundamental challenges regarding fault tolerance and virtualization.

LITERATURE SURVEY: Reviews existing research on virtual machine migration, fault tolerance mechanisms, and security strategies, identifying gaps in current distributed fault management.

PRESENT WORK: Details the problem statement and the proposed autonomic framework design, including tools like HAProxy, Nginx, Docker, and Nagios to achieve system-level fault tolerance.

RESULTS AND DISCUSSION: Evaluates the experimental prototype, demonstrating how the proposed framework effectively manages load and maintains service availability during simulated server failures.

CONCLUSIONS AND FUTURE SCOPE: Summarizes the effectiveness of the implemented framework in enhancing system reliability and suggests future improvements such as incorporating database locks and more advanced virtualization techniques.

Keywords

Cloud Computing, Fault Tolerance, Load Balancing, Virtualization, HAProxy, Nginx, Docker, MySQL Replication, Autonomic Management, High Availability, System Monitoring, Nagios, Distributed Systems, Proactive Fault Recovery, Middleware

Frequently Asked Questions

What is the core focus of this research?

The research focuses on implementing an autonomic, fault-tolerant framework for cloud computing environments to ensure system reliability and availability.

What are the primary technical themes of the work?

The core themes include proactive fault tolerance, virtualization (OS and system level), load balancing, and automated server monitoring.

What is the central research question?

The primary goal is to address how to effectively detect and manage server faults proactively to ensure that cloud-based applications remain operational without significant latency or data loss.

Which scientific methodology is applied?

The methodology involves the design and implementation of a layered framework, utilizing load-balancing software (HAProxy, Nginx) and replication techniques within a virtualized (VMware, Docker) cloud environment.

What does the main body of the work cover?

The main body describes the problem definition, the design of the autonomic framework, the specific tools used (VMware, Ubuntu, Haproxy, Docker, Nginx, MySQL, Nagios), and the implementation details, followed by experimental results and performance analysis.

How is the work characterized by its keywords?

The work is characterized by its emphasis on fault tolerance, virtualization techniques, and automated monitoring, reflecting a modern approach to maintaining high availability in distributed systems.

How does the framework handle server failures?

The framework utilizes HAProxy to distribute requests based on server priority and redirects traffic to healthy nodes if a web server fails, while Nginx handles load balancing and failure redirection for database servers.

What role does database replication play in the system?

Master-master MySQL replication is implemented to maintain mirror copies of data across database servers, ensuring data redundancy and high availability even if a database node fails.

Why is Nagios integrated into the system?

Nagios is used for automated, 24/7 monitoring of server status. It provides real-time alerts via email and SMS, allowing administrators to identify and respond to discrepancies immediately.