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 Δ 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).
Original language | English |
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Journal | IEEE/ACM Transactions on Networking |
DOIs | |
State | Accepted/In press - 1 Jan 2022 |
Keywords
- approximation algorithms
- Data centers
- Entropy
- IEEE transactions
- load
- network design
- network topology
- Network topology
- Probability distribution
- Reconfigurable networks
- route length.
- Routing
- Topology
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering