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On using Cellular Automata for Modeling the Evolution of Dynamic-Link Network Parameters

  • AIRBUS
  • Telecom Sudparis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present a novel formalism for describing the evolution of dynamic-link network parameters; it is based on the Cellular Automaton (CA) model. Such formalism is of wide-use for modeling natural (e.g., physical, chemical, etc.) processes. We propose a particular model and survey the related work, with respect to the use of CA to simulate various communication networks. We showcase the flexibility of the proposed approach to model different evolution patterns. These patterns can be used to emulate / simulate different network scenarios (states of the network parameters), and test novel implementations under distinct conditions. Additionally, we propose an algorithm for guaranteeing that the described patterns hold properties of interest, within a bounded time.

Original languageEnglish
Title of host publicationNCA 2022 - 2022 IEEE 21st International Symposium on Network Computing and Applications
EditorsMichele Colajanni, Luca Ferretti, Miguel Pardal, Dimiter R. Avresky
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages297-301
Number of pages5
ISBN (Electronic)9798350397307
DOIs
Publication statusPublished - 1 Jan 2022
Event21st IEEE International Symposium on Network Computing and Applications, NCA 2022 - Virtual, Online, United States
Duration: 14 Dec 2022 → 16 Dec 2022

Publication series

NameNCA 2022 - 2022 IEEE 21st International Symposium on Network Computing and Applications

Conference

Conference21st IEEE International Symposium on Network Computing and Applications, NCA 2022
Country/TerritoryUnited States
CityVirtual, Online
Period14/12/22 → 16/12/22

Keywords

  • Cellular automata
  • Dynamic-link networks
  • Formal models
  • network prediction / evolution

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