COMPARATIVE ANALYSIS OF DYNAMIC VIRTUAL PRIVATE NETWORKS RESOURCE ALLOCATION SCHEMES

 

Table Of Contents


  • <p> </p><p>Title page &nbsp; — &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – i &nbsp; &nbsp; </p><p>Declaration — &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -ii</p><p>Approval page — &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -iii</p><p>Dedication — &nbsp; &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -iv</p><p>Acknowledgement — &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -v &nbsp; &nbsp; </p><p>Table of content &nbsp; — &nbsp; &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -vi &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Abstract — &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; – &nbsp; &nbsp; &nbsp; -vii</p> <br><p></p>

Project Abstract

<p> </p><div>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.</div><p><br><br><br></p> <br><p></p>

Project Overview

<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.<br><br></p>

Blazingprojects Mobile App

📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Electrical electroni. 2 min read

Smart Grid Demand Response Control Using Edge Analytics and Renewable Integration N...

What This Project Is About A beginner-friendly explanation of how smart grids can adjust electricity use in real time by using local data and small edge devices...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection and Localization Using Distributed Sensor Networks...

What This Project Is About A straightforward look at how smart grids can quickly detect faults and pinpoint where they occur by using a network of small, inexpe...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection using IoT-based Sensor Network Note: If you want more op...

What This Project Is About Develop a system that can monitor the electrical grid in real time using small sensors and internet connectivity. The project investi...

BP
Blazingprojects
Read more →
Electrical electroni. 4 min read

Smart Low-Cost IoT-Based Energy Management System for Microgrids...

What This Project Is About A plain-language overview of how small energy systems can be monitored and controlled using affordable sensors and internet tools to ...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection and Localization using Hybrid Fuzzy-Neural Network and Ph...

What This Project Is About This project explores how a smart electrical grid can automatically detect and locate faults using a combination of fuzzy logic (huma...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart LVDC Microgrid with Real-Time Energy Management and Batteryless Solar Inverter...

What This Project Is About This project explores a small-scale, low-voltage direct current (LVDC) microgrid that can manage energy in real time. It also investi...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Demand Response using IoT and Machine Learning for Energy Optimization...

What This Project Is About A practical study that looks at how a smart electrical grid can respond to changing electricity use in real-time. It combines Interne...

BP
Blazingprojects
Read more →
Electrical electroni. 2 min read

Smart Grid Fault Detection and Isolation Using IoT and Machine Learning...

What This Project Is About A plain-language overview of how smart grids, real-time monitoring, and learning algorithms work together to detect faults in electri...

BP
Blazingprojects
Read more →
Electrical electroni. 3 min read

Smart Grid Fault Detection and Isolation Using IoT-Enabled Phasor Measurement Units ...

What This Project Is About A plain-language overview of the topic and what the project investigates. The Problem It Addresses What problem or gap this project ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us