COMPARATIVE ANALYSIS OF DYNAMIC VIRTUAL PRIVATE NETWORKS RESOURCE ALLOCATION SCHEMES

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Virtual Private Networks (VPNs)
  • 2.2Evolution of Dynamic VPNs
  • 2.3Resource Allocation in VPNs
  • 2.4Types of VPN Resource Allocation Schemes
  • 2.5Benefits of Dynamic VPN Resource Allocation
  • 2.6Challenges in Dynamic VPN Resource Allocation
  • 2.7Comparative Analysis Framework
  • 2.8Previous Studies on VPN Resource Allocation
  • 2.9Case Studies of Dynamic VPN Resource Allocation
  • 2.10Future Trends in VPN Resource Allocation

Chapter THREE

SYSTEM DESIGN AND IMPLEMENTATION

  • 3.1Research Design and Methodology
  • 3.2Selection of Research Approach
  • 3.3Data Collection Methods
  • 3.4Sampling Techniques
  • 3.5Data Analysis Procedures
  • 3.6Validity and Reliability of Data
  • 3.7Ethical Considerations
  • 3.8Limitations of the Research Methodology

Chapter FOUR

SYSTEM TESTING AND EVALUATION

  • 4.1Overview of Research Findings
  • 4.2Analysis of Dynamic VPN Resource Allocation Schemes
  • 4.3Comparison of Different Resource Allocation Models
  • 4.4Impact of Dynamic Resource Allocation on Network Performance
  • 4.5Case Studies Evaluation
  • 4.6Discussion on Key Findings
  • 4.7Implications for Network Management
  • 4.8Recommendations for Implementation

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusions
  • 5.3Contribution to Knowledge
  • 5.4Practical Implications
  • 5.5Recommendations for Future Research

Project Abstract

<p> </p><p>The need for high performance resource allocation schemes for Virtual Private Networks (VPNs) has led to the proliferation of algorithms for VPN resource allocation. It was found that most works on VPN resource allocation focused either on admission control or link reservation on the network. Also, review of relevant literatures have revealed the need for a resource allocation/scheduling scheme whose algorithm will be able to allocate bandwidth and memory resources to different VPNS sharing the same link to the network service provider. Resources should be allocated in such a manner that utilization is optimal while VPN endpoints or customers receive services that does not undermine the service-level agreement (SLA) with the service provider. MATLAB Simulink was used to design a simulation model for analysing the VPN access network obtaining and comparing results for the link bandwidth utilization, buffer memory utilization and packet loss rate performances of the RDVNP (Robust Dynamic Virtual Network Provisioning) algorithm against the DWARF-Net (Dynamic bandWidth Allocation and guarantee on Resource Fairness) algorithm. From the results obtained, DWARF-Net algorithm’s performance was better than the RDVNP’s algorithm in almost all parameters tested on. On bandwidth utilization, DWARF-Net had an average channel utilization of 61.23% against RDVNP’s 48.28%. on buffer utilization 42% for DWARF-Net, 41% for RDVNP and average loss rate average of 1 Packet/second for DWARF-Net against 20 Packets/second for RDVNP. From the simulation analysis and result of this work, DWARF-Net was recommended to researchers as an optimal performing algorithm for VPN resource allocation.</p><br> <br><p></p>

Project Overview

<p> </p><p>For long, traditional Private Networks (PNs) were established by connecting Private Network sites (e.g., campuses or branch offices of enterprises) with leased lines over a Wide Area Network (WAN). Since these lines were dedicated lines, Security and bandwidth guarantees were assured[1]. As enterprises and other customer’s network sites proliferated and spread globally, the number of endpoints of PN’s sites has spread while the endpoints got more geographically dispersed. The distance between endpoints in a Private Network is directly proportional to the fee or cost of providing the links in the private network. Thus, connecting a large number of dispersed PN sites with dedicated lines became very expensive. As a result, there was a need for a cheaper readily available alternative to the PNs. The remedy was provided by developing the Virtual Private Network (VPN) services which ran over the public network’s backbone or over the public Internet. This method has been quite successful in making VPNs ubiquitous in interconnecting Private network sites.</p><p></p><br> <br><p></p>

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