Title
Domain clustering for inter-domain path computation speed-up.
Abstract
We consider a multi-domain network scenario and we study the Inter-Domain Path Computation problem under the Domain Uniqueness constraint (IDPC-DU), that is, a path cannot visit a domain twice. It is known that hierarchical Path Computation Element (h-PCE) architecture, that is commonly used to solve IDPC-DU, shows poor scalability with respect to the number of domains. For this reason, we devise a new domain clustering concept allowing one to artificially reduce the number of domains in an offline phase, in order to solve IDPC-DU with lower complexity at run-time. More specifically, we first prove the NP-completeness of the feasibility problem associated with IDPC-DU and the inapproximability of IDPC-DU itself. Yet, we show that the number of domains is the real computational bottleneck for the solution of IDPC-DU. Then we provide a necessary and sufficient condition for a domain clustering to be proper, that is, without loss of optimality. Such a condition can be verified offline on the inter-domain graph. We finally show via numerical experiments the impact of the inter-domain treewidth on the computational speed-up brought by proper clustering.
Year
DOI
Venue
2018
10.1002/net.21800
NETWORKS
Keywords
Field
DocType
domain clustering,domain re-entry,domain uniqueness,hierarchical PCE,inter-domain path computation,semi-hierarchical PCE
Inter-domain,Mathematical optimization,Algorithm,Cluster analysis,Mathematics,Speedup,Computation
Journal
Volume
Issue
ISSN
71.0
3.0
0028-3045
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Lorenzo Maggi15211.55
Jérémie Leguay245030.87
Johanne Cohen341.77
Paolo Medagliani48012.94