Performance Analysis of a Large-Scale Enterprise Network in Real Time Environment

Authors

  • Md. Taslim Arefin  Department of ETE, Daffodil International University, Dhaka, Bangladesh
  • Md. Tauhidunnabi Likhon  Department of ETE, Daffodil International University, Dhaka, Bangladesh
  • Chowdhury Badrul Huda  Department of ETE, Daffodil International University, Dhaka, Bangladesh
  • Diganta Roy   Department of ETE, Daffodil International University, Dhaka, Bangladesh

Keywords:

Enterprise Network, MPLS, VPN, GNS3

Abstract

An enterprise network is a communications backbone that helps to connect computers and other related devices across a large workgroup networks that provides insight and data accessibility. In this paper an enterprise network model has been designed based on real time environment. A comparative analysis of MPLS network over conventional Internet Protocol (IP) network has been performed. Different routing protocols such as OSPF, EIGRP, RIPv1, RIPv2 and MPLS have been considered in the performance analysis. GNS3 has been used to simulate the both networks and the comparative analysis has been made based several parameters such as Packet jitter, Packet delay, Packet drop etc. The simulation results have been analyzed which indicates that MPLS network has performed better than conventional IP network in real-time applications such as Voice and video. MPLS L3 VPN has been used in the proposed model.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Md. Taslim Arefin, Md. Tauhidunnabi Likhon, Chowdhury Badrul Huda, Diganta Roy , " Performance Analysis of a Large-Scale Enterprise Network in Real Time Environment" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.10-16, May-June-2021.