Title
Destination-specific maximally redundant trees: Design, performance comparison, and applications
Abstract
Resilient networks react to a failure by reconfiguring routing tables in a network-wide manner and utilizing fast reroute (FRR) in the meanwhile. FRR uses pre-computed backup paths to avoid the failure locally. The existing FRR approaches for IP networks and Software-Defined Networking (SDN) differ in regard to computational complexity, backup path length, additional forwarding state and required capacities. Maximally Redundant Trees (MRTs) are standardized by the IETF and are already available for IP and MPLS networks. In this paper, we propose destination-specific MRTs (dMRTs), an improved variant of MRTs, for protection of IP networks. This mechanism reduces the generated path lengths but increases the computational complexity of the MRT algorithm. We analyze and compare our proposal with simple MRTs and MPLS FRR. We show on a large and publicly available network data base that dMRTs provide significant shorter backup paths compared to simple MRTs and require less forwarding state and network capacities than MPLS FRR. Adapting an existing FRR mechanism for IP networks to SDN enables its deployment in hybrid-SDN networks. Thus, we outline implementation options of dMRTs in IP and MPLS networks and (d)MRTs in SDN. Finally, we discuss the computational overhead of our proposal in the context of (decentralized) IP networks and (centralized) SDNs.
Year
DOI
Venue
2018
10.1109/ICIN.2018.8401580
2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
Keywords
Field
DocType
Resilience,Software-Defined Networking,IP networks,Scalability,Resource Management
Fast reroute,Overhead (computing),Multiprotocol Label Switching,Computer science,Computer network,Network topology,Routing table,Backup,Maintenance engineering,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-5386-3459-2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Wolfgang Braun1404.33
Daniel Merling241.79
Michael Menth356772.74