COMPARATIVE ANALYSIS OF DYNAMIC VIRTUAL PRIVATE NETWORKS RESOURCE ALLOCATION SCHEMES

ABSTRACT

Because of the demand for high-performance resource allocation systems for Virtual Private Networks (VPNs), algorithms for VPN resource allocation have proliferated. The majority of VPN resource allocation research focused on either admission control or network link reserve. A survey of relevant literatures has also indicated the requirement for a resource allocation/scheduling system whose algorithm can distribute bandwidth and memory resources to distinct VPNS sharing the same network service provider link. Resources should be allocated in such a way that maximum utilization is achieved while VPN endpoints or consumers receive services that do not jeopardize the service provider’s service-level agreement (SLA). MATLAB Simulink was used to create a simulation model for analyzing the VPN access network and comparing the RDVNP (Robust Dynamic Virtual Network Provisioning) algorithm against the DWARF-Net (Dynamic bandWidth Allocation and Guarantee on Resource Fairness) algorithm in terms of link bandwidth utilization, buffer memory utilization, and packet loss rate. According to the results, the DWARF-Net method outperformed the RDVNP algorithm in practically every parameter examined. In terms of bandwidth consumption, DWARF-Net had a 61.23 percent average channel utilization compared to RDVNP’s 48.28 percent. DWARF-Net has a buffer utilization of 42%, while RDVNP has a buffer utilization of 41%. DWARF-Net has a loss rate of 1 packet per second, while RDVNP has a loss rate of 20 packets per second. DWARF-Net was recommended to researchers based on the simulation study and results of this effort.

CHAPTER ONE

INTRODUCTION

BACKGROUND OF STUDY

Traditional Private Networks (PNs) have long been built by connecting Private Network locations (such as corporate campuses or branch offices) with leased lines across a Wide Area Network (WAN). Security and bandwidth guarantees were guaranteed because these lines were dedicated lines[1]. The number of endpoints of PN’s sites has grown as corporations and other customers’ network sites grew and spread globally, and the endpoints have become more geographically distributed. In a Private Network, the distance between endpoints is proportional to the charge or cost of delivering the private network’s links. As a result, using dedicated lines to connect a large number of distant PN sites became too expensive. As a result, a less expensive and widely available alternative to the PNs was required. Virtual Private Network (VPN) services, which ran over the public network’s backbone or the public Internet, were developed as a solution. VPNs have become commonplace in joining private network sites because to this technology.

COMPARATIVE ANALYSIS OF DYNAMIC VIRTUAL PRIVATE NETWORKS RESOURCE ALLOCATION SCHEMES

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