In the Search of Optimal Tree Networks: Hardness and Heuristics

Fuente: arXiv
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Autores principales: Buzdalov, Maxim, Martynov, Pavel, Pankratov, Sergey, Aksenov, Vitaly, Schmid, Stefan
Formato: Preprint
Publicado: 2024
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author Buzdalov, Maxim
Martynov, Pavel
Pankratov, Sergey
Aksenov, Vitaly
Schmid, Stefan
author_facet Buzdalov, Maxim
Martynov, Pavel
Pankratov, Sergey
Aksenov, Vitaly
Schmid, Stefan
contents Demand-aware communication networks are networks whose topology is optimized toward the traffic they need to serve. These networks have recently been enabled by novel optical communication technologies and are investigated intensively in the context of datacenters. In this work, we consider networks with one of the most common topologies~ -- a binary tree. We show that finding an optimal demand-aware binary tree network is NP-hard. Then, we propose optimization algorithms that generate efficient binary tree networks on real-life and synthetic workloads.
format Preprint
id arxiv_https___arxiv_org_abs_2403_03724
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle In the Search of Optimal Tree Networks: Hardness and Heuristics
Buzdalov, Maxim
Martynov, Pavel
Pankratov, Sergey
Aksenov, Vitaly
Schmid, Stefan
Networking and Internet Architecture
Data Structures and Algorithms
Demand-aware communication networks are networks whose topology is optimized toward the traffic they need to serve. These networks have recently been enabled by novel optical communication technologies and are investigated intensively in the context of datacenters. In this work, we consider networks with one of the most common topologies~ -- a binary tree. We show that finding an optimal demand-aware binary tree network is NP-hard. Then, we propose optimization algorithms that generate efficient binary tree networks on real-life and synthetic workloads.
title In the Search of Optimal Tree Networks: Hardness and Heuristics
topic Networking and Internet Architecture
Data Structures and Algorithms
url https://arxiv.org/abs/2403.03724