Features of Data Center Network Topologies Fit for IIoT Deployments

Authors

  • Pedro J. Roig Miguel Hernández University, Elche, Spain and University of the Balearic Islands, Spain.
  • Salvador Alcaraz Miguel Hernández University, Elche, Spain.
  • Katja Gilly Miguel Hernández University, Elche, Spain.
  • Cristina Bernad Miguel Hernández University, Elche, Spain.
  • Carlos Juiz University of the Balearic Islands, Spain.

DOI:

https://doi.org/10.9734/bpi/rhst/v9/10852F

Keywords:

Data centers, edge computing, network topology, performance evaluation

Abstract

Industry 4.0 represents a turning point in the manufacturing field due to massive digitalization and the application of artificial intelligence techniques, as it allows to implement a wide range of disruptive actions such as predictive maintenance or smart chain supplies. However, in order to make this all possible, remote computing facilities should be brought to the edge of the network, such as edge/fog computing, which allows communications with low latency and high bandwidth. In this paper, the focus is set on data center network topologies adapted to those environments, characterized by a lower number of end users, thus leading to a lower number of nodes than their cloud computing counterparts. In this context, performance is evaluated using statistical means regarding the average number of links between any pair of nodes.

Published

2023-08-19

How to Cite

Pedro J. Roig, Salvador Alcaraz, Katja Gilly, Cristina Bernad, & Carlos Juiz. (2023). Features of Data Center Network Topologies Fit for IIoT Deployments. Research Highlights in Science and Technology Vol. 9, 29–48. https://doi.org/10.9734/bpi/rhst/v9/10852F

Issue

Research Highlights in Science and Technology Vol. 9

Section

Chapters