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Incremental Deployment of Segment Routing Into an ISP Network: a Traffic Engineering Perspective

Authors :
Marco Listanti
Marco Polverini
Antonio Cianfrani
Source :
IEEE/ACM Transactions on Networking. 25:3146-3160
Publication Year :
2017
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2017.

Abstract

Segment routing (SR) is a new routing paradigm to provide traffic engineering (TE) capabilities in an IP network. The main feature of SR is that no signaling protocols are needed, since extensions of the interior gateway protocol routing protocols are used. Despite the benefit that SR brings, introducing a new technology into an operational network presents many difficulties. In particular, the network operators consider both capital expenditure and performance degradation as drawbacks for the deployment of the new technology; for this reason, an incremental approach is preferred. In this paper, we face the challenge of managing the transition between a pure IP network to a full SR one while optimizing the network performances. We focus our attention on a network scenario where: 1) only a subset of nodes are SR-capable and 2) the TE objective is the minimization of the maximum link utilization. For such a scenario, we propose an architectural solution, named SR domain (SRD), to guarantee the proper interworking between the IP routers and the SR nodes. We propose a mixed integer linear programming formulation to solve the SRD design problem, consisting in identifying the subset of SR nodes; moreover, a strategy to manage the routing inside the SRD is defined. The performance evaluation shows that the hybrid IP/SR network based on SRD offers TE opportunities comparable to the one of a full SR network. Finally, a heuristic method to identify nodes to be inserted in the set of nodes composing the SRD is discussed.

Details

ISSN :
15582566 and 10636692
Volume :
25
Database :
OpenAIRE
Journal :
IEEE/ACM Transactions on Networking
Accession number :
edsair.doi.dedup.....d3beb993fd257b9cd0e5eb4f5f62fea1
Full Text :
https://doi.org/10.1109/tnet.2017.2731419