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Evaluation of Load Balancing Algorithms and Internet Traffic Modeling for Performance Analysis

Evaluation of Load Balancing Algorithms and Internet Traffic Modeling for Performance Analysis

Project / Seminar Material
Reference ID: PS-5119-TM

DEDICATION

This research material titled “Evaluation of Load Balancing Algorithms and Internet Traffic Modeling for Performance Analysis” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Computer Science Education, Book Authors and Profound Scholars of existing or related project material on “Evaluation of Load Balancing Algorithms and Internet Traffic Modeling for Performance Analysis” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.

TABLE OF CONTENTS

PRELIMINARY PAGES

CHAPTER ONE

INTRODUCTION

    CHAPTER TWO

    LITERATURE REVIEW

    • 2.1 Introduction
    • 2.2 Conceptual Review
    • 2.3 Theoretical Framework
    • ⋮
    • 2.4 Empirical Studies

    CHAPTER THREE

    RESEARCH METHODOLOGY

    • 3.1 Introduction
    • 3.2 Research Design
    • 3.3 Population of Study
    • 3.4 Sampling and Sampling Technique
    • 3.5 Validation of Research Instrument
    • 3.6 Method of Data Collection
    • 3.7 Method of Data Analysis
    • 3.8 Questionnaire Administration
    • 3.9 Ethical Consideration
    • 3.10 Statistical Analysis

    CHAPTER FOUR

    DATA ANALYSIS, RESULT AND DISCUSSION

    • 4.1 Introduction
    • 4.2 Presentation and Analysis of Data
    • 4.3 Re-statement of Research Questions
    • 4.4 Test of Hypotheses
    • 4.5 Discussion of Findings

    CHAPTER FIVE

    SUMMARY, CONCLUSION AND RECOMMENDATION

    • 5.1 Introduction
    • 5.2 Summary of Findings
    • 5.3 Conclusion
    • 5.4 Recommendation
    • 5.5 Suggestion for Further Study

    REFERENCES

    APPENDIX A - “QUESTIONNAIRE”

    ABSTRACT

    This thesis presents research and study of load balancing algorithms and the analy-sis of the performance of each algorithm in varying conditions. The research also covers a study of the characteristics of Internet traffic and its statistical properties. The network workload models that were implemented in the simulation program were derived from the many works already published within the Internet community. These workload models were successfully implemented and statistical proof is given that they exhibit characteris-tics similar to the workloads found on the Internet. Finally, this thesis compares and con-trasts the differences between stateless server selection methods and state-base selection methods with the different algorithms studied.

    Evaluation of Load Balancing Algorithms and Internet Traffic Modeling for Performance Analysis

    CHAPTER ONE

    Introduction

    The research and results of the topic of Load Balancing and Internet traffic model-ing are presented in this thesis.

    Load Balancing is a form of system performance evaluation, analysis and optimi-zation, which attempts to distribute a number of logical processes across a network of pro-cessing elements. There have been many algorithms and techniques that have been developed and studied for improving system performance. In early research in the field of computer science, the main focus for improving performance was to develop algorithms and techniques to optimize the use of systems with limited and expensive resources for scientific computing and information systems. Later, there was an emphasis on how to network groups of computers or workstations and then share the resources among work-groups. More recently there has been a tremendous increase in the popularity of the Inter-net as a system for sharing and gathering information. The use of the Internet has been increasing at a tremendous rate and there always has been a concern among those in the Internet community that enough resources will be available to provide the expected qual-ity of service that is received by its users.

    The process of “balancing”, “sharing”, “scheduling” or “distributing” work using a network of computers or a system of multiple processing elements is a widely studied subject. This paper will focus on recent works that have been written regarding today’s com-puting environments.

    In this thesis, we will look at the art of load balancing and how it can be applied to distributed networks and more specifically the Internet. Initially, the focus of the research for this thesis was on development and analysis of algorithms that minimized the amount of messaging or probing that is required for determining the current workload of a set of processing elements, such as a group of replicated web servers. These algorithms were to compare stochastic based methods of estimating server workloads, with more intrusive methods of messaging and probing. During the process of developing the simulator to be used for evaluating the algorithms in this study, tasks related to modeling network work-loads, and the workloads related to the Internet in particular, were identified to be crucial to the research in this area and as a result of this effort, network modeling has become a significant portion of this thesis.

    The thesis is divided into the following chapters. Chapter 2 will discuss the con-cepts and research related to the subject of Load Balancing. Chapter 3 will discuss the issues related to modeling network traffic and in particular Internet traffic. Chapter 4 describes the Network Simulator used to evaluate the load balancing algorithms. Chapter 5 is the Experimental Design of the network simulations, and Chapter 6 will discuss the results of the experimental simulations. Finally, Chapter 7 will discuss the conclusions based upon the experiments performed in this study.

    Finally, in addition to the goals already mentioned, it is the hope of the author that this research can be used as a reference for the continued study in the areas of network performance evaluation, modeling and simulation.

    …

    CHAPTER TWO

    2.0 Literature Review

    2.1 Introduction

    This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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