Demand-Aware Network Design with Minimal Congestion and Route Lengths

Demand-Aware Network Design with Minimal Congestion and Route Lengths

Abstract

Emerging communication technologies allow to reconfigure the physical network topology at runtime, enabling demand-aware networks (DANs): networks whose topology is optimized toward the workload they serve. However, today, only little is known about the fundamental algorithmic problems underlying the design of such demand-aware networks. This paper presents the first bounded-degree, demand-aware network, cl-DAN, which minimizes both congestion and route lengths. The degree bound ∆ is given as part of the input. The designed network is provably (asymptotically) optimal in each dimension individually: we show that there do not exist any bounded-degree networks providing shorter routes (independently of the load), nor do there exist networks providing lower loads (independently of the route lengths). The main building block of the designed cl-DAN networks are ego-trees: communication sources arrange their communication partners in an optimal tree, individually. While the union of these ego-trees forms the basic structure of cl-DANs, further techniques are presented to ensure bounded degrees (for scalability).

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Authors
  • Avin, Chen
  • Mondal, Kaushik
  • Schmid, Stefan
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Supplemental Material
Shortfacts
Category
Journal Paper
Divisions
Communication Technologies
Subjects
Informatik Allgemeines
Journal or Publication Title
IEEE/ACM Transactions on Networking
ISSN
1063-6692
Date
2022
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