Distributed Self-Adjusting Tree Networks

Bruna Soares Peres, Otavio Augusto De Oliveira Souza, Olga Goussevskaia, Chen Avin, Stefan Schmid

Research output: Contribution to journalArticlepeer-review

Abstract

The performance of many data-centric cloud applications critically depends on the performance of the underlying datacenter network. Reconfigurable optical technologies have recently introduced a novel opportunity to improve datacenter network performance, by allowing to dynamically adjust the network topology according to the demand. However, the vision of self-adjusting networks raises the fundamental question how such networks can be efficiently operated in a scalable and distributed manner. This article presents DiSplayNet-DiSplayNet, the first fully distributed self-adjusting network. DiSplayNet-DiSplayNet relies on algorithms that perform decentralized and concurrent topological adjustments to account for changes in the demand. We propose two natural metrics to evaluate the performance of distributed self-adjusting networks, the amortized work (the cost of routing on and adjusting the network) and the makespan (the time it takes to serve a set of communication requests). We present a rigorous formal analysis of the work and makespan of DiSplayNet-DiSplayNet, which can be seen as an interesting generalization of analyses known from sequential self-adjusting datastructures. We complement our theoretical contribution with an extensive trace-driven simulation study, shedding light on the opportunities and limitations of leveraging spatial and temporal locality and concurrency in self-adjusting networks.

Original languageAmerican English
Pages (from-to)716-729
Number of pages14
JournalIEEE Transactions on Cloud Computing
Volume11
Issue number1
DOIs
StatePublished - Jan 2023

Keywords

  • Self-adjusting networks
  • amortized analysis
  • concurrency
  • datacenters
  • decentralization
  • trace-driven simulations

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

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