DESIGN AND SIMULATION STUDY OF A SCALABLE AND RESILIENT NETWORK ARCHITECTURE FOR A HYBRID CLOUD; ITS BILLING SYSTEM

ABSTRACT

A   Hybrid Cloud refers to a cloud computing environment that provides pay-as-you-go services to users using the integration of public and private clouds resources. Cloud computing is one of the latest areas in the field of Information Technology (IT) with a promising future. There are predictions that in no distant future, many users will simply go in for cloud computing services

as the users will only “Pay-as-they-go” without incurring the cost of the equipments they use or the cost of their maintenance. However, prospective users or customers of the cloud especially those of the hybrid cloud in particular have a phobia for cloud computing services especially in the domain of the billing system since hybrid cloud providers evaluate the bills at the providers‟ end without the user or customer involved in the calculation.

In this thesis we try to provide a solution for the above mentioned billing problem to the prospective cloud users by coming out with simulations that evaluate the pricing mechanism in a hybrid cloud environment. This evaluation pinpoints the factors that contribute to the total bill presented to the customer and their respective individual contributions depending on whether the computation is data intensive or compute intensive. The simulations were done using the extended cloud simulation software “Cloudsim” which is a simulator that models and simulates cloud computing environment and equally evaluates resource factors. The simulations revealed that the bill incurred by a customer is directly proportional to the degree of intensity of the factor(s) used.

TABLE OF CONTENTS

Key Words

Abstract

List of Acronyms

Table of Contents

List of Figures

List of Tables

List of Graphs

CHAPTER ONE – INTRODUCTION

1.0 General Introduction

1.1 What is Cloud Computing?

1.1.1  ON-DEMAND

1.1.2  PAY-AS-YOU-GO

1.1.3  SCALABILITY

1.1.4  MAINTENANCE

1.2 Evolution of Cloud Computing

1.3 Purpose of this Research work

1.4 Scope of work

CHAPTER TWO – LITERATURE REVIEW

2.0 Introduction

2.1 Cloud Computing Concepts

2.1.1  Virtualization

2.1.1.1 VMWARE

2.1.1.2 Application Virtualization

2.1.1.3 Storage Virtualization

2.1.1.4 Virtualization Software

2.1.2  Cloud Computing Types

2.1.2.1 Public Cloud

2.1.2.2 Private Cloud

2.1.2.3 Hybrid Cloud

2.1.3  Cloud Computing Services

2.1.3.1 Infrastructure as a Service (IaaS)

2.1.3.2 Software as a Service (SaaS)

2.1.3.3 Platform as a Service (PaaS)

2.1.4  Grid Vs Cloud Computing

2.1.5  Grid, HPC and Cloud Computing

2.2 Overview of Related Work

CHAPTER THREE – HYBRID CLOUD NETWORK ARCHITECTURAL DESIGN

3.0 Introduction

3.1 Hybrid Cloud Network Design

3.1.1    Data Center Network Design

3.1.1.1 Mathematical Model of the DCN Architecture

3.1.1.2 Routing in the Network Topology

3.1.1.3 How Packets move in the Topology

3.1.1.4 Algorithms for forwarding table in the Topology

3.1.1.5 Simulation of Algorithm with k=4

3.1.2    Data Center Interconnect Design

3.1.3    Cloud in a Box

3.1.4    Network Service Nodes

3.2 Network Limitations in a Hybrid Cloud

CHAPTER FOUR – SIMULATIONS

4.0 Introduction

4.1 Pricing Factors in a Hybrid Cloud

4.1.1 Storage

4.1.2 Memory

4.1.3 Compute

4.1.4 Bandwidth

4.2 Effects of Virtualization on a Cloud Computing Environment

4.3 Software Components of the simulation

4.3.1 Cloudsim

4.3.1.1 Datacenter

4.3.1.2 DatacenterBroker

4.3.2 Apache Ant

4.3.3 JDK

4.4 Experiments and Evaluation

4.4.1 Evaluation of Pricing Mechanism

4.4.2 Graphs for pricing mechanism simulation

4.4.3 Evaluation of Hybrid Cloud Parallelism strategy

CHAPTER FIVE - CONCLUSIONS AND FUTURE WORK

5.1 CONCLUSIONS

5.2 FUTURE WORKS

REFERENCES

APPENDIX: Source Code

CHAPTER ONE: INTRODUCTION

1.0  GENERAL INTRODUCTION

This section presents the general outline of this work. Chapter one introduces Cloud computing: what it means and how it came about. It also discusses the purpose and the scope of the research work. Chapter two contains the literature review: concepts and the related works. Chapter three presents a feasible methodology for the construction of a scalable network architecture for a hybrid cloud. Simulations to evaluate the pricing mechanism in a hybrid cloud are carried out in chapter four. The work is concluded in chapter five and proposal for future work is presented.

1.1    WHAT IS CLOUD COMPUTING?

Cloud computing is an innovation in the field of Information Technology (IT). It facilitates the way we do computations by making it possible for the use of storage devices, processing devices and other devices by a customer to be as a service rather than the customer incurring the cost of purchase, installation and maintenance of the devices.

Cloud computing is defined by many people [1] in different ways with some of the main vendors- IBM, Amazon, Microsoft, Google, Yahoo and Apple. These vendors are either already providing cloud computing solutions in one form or another or are sponsors of research centers. Although definitions differ in one way or the other, they all center on the same keywords [2]; scalability, on-demand, pay-as-you go, Maintainability etc. this keywords will be elaborated on below. One of the vendors, IBM [1], considers a “cloud” as a pool of virtualized resources that hosts a variety of workloads, allows for a quick scale-out and deployment, provision of virtual machines to physical machines, supports redundancy and self-recovery and could also be monitored and rebalanced in real time. Hai Jin [3], on the other hand sees the “Cloud” as a class of systems that deliver IT resources to remote users as a service. The resources encompass hardware, programming environments and applications. The services provided through cloud systems can be classified into Infrastructure as a service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).

The name “Cloud computing” is a metaphor for the internet. A cloud shape is used to represent internet in network diagrams to hide the flexible topology and to abstract the infrastructure. Some commonly used definitions by cloud community include that of Ian Foster [3] who defines cloud computing as “A large-scale distributed computing paradigm that is driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable managed computing power, storage, platforms, and services are delivered on demand to external customers over the internet” and that of Jeff Kaplan who views cloud computing as “a broad array of web-based services aimed at allowing users to obtain a wide range of functional capabilities on a ‘pay-as-you-go’ basis that previously required tremendous hardware or software investments and professional skills to acquire. Cloud computing is the realization of earlier ideas of utility computing without the technical complexities or complicated deployment worries”. The following are keywords of cloud computing.....

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Item Type: Postgraduate Material  |  Attribute: 74 pages  |  Chapters: 1-5

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