@inproceedings{03154ab4c66148639b6668be3dd933d2,
title = "Performance Analysis of Segment Routing on MPLS L3VPN using PNETLAB",
abstract = "The 5G technology brings new services such as the faster speeds of enhanced mobile broadband, mass deployment of machine-Type communications, and ultra-reliable low-latency services. Consequently, it comes to a critical need to design a network infrastructure that can easily and efficiently support various service. Service Level Agreement (SLA) based services were traditionally established in the Internet Protocol / Multiprotocol Label Switching (IP/MPLS) network by implementing traffic engineering using protocols such as Resource Reservation Protocol-Traffic Engineering (RSVP-TE). However, it is not easy for some network operators to implement the current 5G development as mentioned earlier. Segment Routing (SR) presents as a technology to minimize network complexity and provide a fundamental for supporting SLA services, flexibility, reliability, and overall performance in the core of a network. In this study, we simulate and implement SR into MPLS Layer 3 Virtual Private Network (L3VPN) intra-AS domain to show that (i) reducing any transport protocol will not affect the service performance; instead, it simplifies service provisioning and problem handling (ii) when a network failure happens in the network, using Topology Independent Loop-Free Alternate (TI-LFA) and microloops avoidance can provide better failover time than conventional Fast Re-Route (FRR) (iii) SLA path differentiation for services within the same Virtual Routing and Forwarding (VRF) can be applied using Segment Routing-Traffic Engineering (SR-TE). It will be an essential foundation for network slicing in the future.",
keywords = "5G, failover, microloops avoidance, MPLS, network slicing, Segment Routing, TI-LFA, traffic engineering",
author = "Gegi Ajiardiawan and Yohan Suryanto",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Artificial Intelligence and Computer Science Technology, ICAICST 2021 ; Conference date: 29-06-2021",
year = "2021",
month = jun,
day = "29",
doi = "10.1109/ICAICST53116.2021.9497844",
language = "English",
series = "ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "185--190",
booktitle = "ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology",
address = "United States",
}