CacheNet: Leveraging the Principle of Locality in Reconfigurable Network Design

Chen Griner, Chen Avin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Emerging optical communication technologies support the dynamic reconfiguration of datacenter network topologies depending on the traffic they serve. However, to reap the benefits of such demand-aware networks, a control logic is required which allows to quickly learn and adapt to traffic patterns. This paper presents CacheNet, a novel approach to efficiently control demand-aware networks. CacheNet leverages temporal and spatial locality in the traffic by managing the reconfigurable links of the optical switches as a links-cache. Network traffic, in turn, can be served either by a link from the link-cache component or by a demand-oblivious topology component. We study several classic caching algorithms and provide an analytical model which captures their performance benefits compared to an all demand-oblivious topology. Our analytical results show that based on the hit ratios and the links-cache size, our hybrid design can outperform designs that are based only on demand-oblivious topology.

Original languageEnglish
Title of host publication2021 IFIP Networking Conference, IFIP Networking 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783903176393
DOIs
StatePublished - 21 Jun 2021
Event20th Annual IFIP Networking Conference, IFIP Networking 2021 - Virtual, Espoo, Finland
Duration: 21 Jun 202124 Jun 2021

Publication series

Name2021 IFIP Networking Conference, IFIP Networking 2021

Conference

Conference20th Annual IFIP Networking Conference, IFIP Networking 2021
Country/TerritoryFinland
CityVirtual, Espoo
Period21/06/2124/06/21

ASJC Scopus subject areas

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

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