Skip navigation
st. Mary's University Institutional Repository St. Mary's University Institutional Repository

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/7498
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHussen, Bertukan-
dc.date.accessioned2023-03-07T11:45:19Z-
dc.date.available2023-03-07T11:45:19Z-
dc.date.issued2023-01-
dc.identifier.uri.-
dc.identifier.urihttp://hdl.handle.net/123456789/7498-
dc.description.abstractTo deliver adequate services to users, the major goals of Quality of Service (QoS) include bandwidth management, regulated jitter, latency, and better packet loss characteristics. The service provider must shape network optimization. Among the best practices for implementing network QoS is improving the current network's physical and logical designs. This work attempted to investigate the end-to-end QoS parameters of MPLS VPN services (Layer 2 VPN and Layer 3 VPN services) networks using the differentiated service (DiffServ) paradigm to manage end-to-end traffic delay, jitter, and packet loss. The traffic is categorized and labeled based on its priority. The suggested network design utilizes weighted fair queuing for congestion management and weighted random early detection for congestion avoidance. The network configurations were designed, demonstrated, and analyzed using GNS3 and Wireshark. When the existing works are compared with the proposed network design constructed utilizing the DiffServ model it is found an improved L2VPN latency results of 7% and the L3VPN delay is reduced by 9.1%. Furthermore, packet loss and jitter are reduced by 18.71% and 4%, respectively.en_US
dc.language.isoenen_US
dc.publisherST. MARY’S UNIVERSITYen_US
dc.subjectQuality of Service, Virtual Private Network, Multiprotocol Label Switching, Multiprotocol Border Gateway Protocol, Label Distribution Protocol, Differentiated Service Model.en_US
dc.titleDeploying End-to-End Quality of Service in Telecommunication Networks and Multiple Label Switching Virtual Private Networksen_US
dc.typeThesisen_US
Appears in Collections:Master of computer science

Files in This Item:
File Description SizeFormat 
Signed_Bertukan_Hussen_thesis_report_february_2023_docx_2_docx_51.pdf2.14 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.