Characterization of the End-to-End Delay in Heterogeneous Networks

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

1 Citation (Scopus)

Abstract

The network slicing architecture is proposed to split single or even multiple physical systems into multiple private logical ones and provide a different Quality of Service (QoS) level for various applications based on their requirement. An important parameter of QoS is the end-to-end (E2E) delay. From a network management viewpoint, E2E delay models play a crucial role to decide what kind of technology can support the required quality of service. In this paper, we investigate the E2E delay distribution for different communication networks to obtain a comprehensive method to model it. We compare the distribution of the E2E delay for heterogeneous networks with multiple known distributions. Moreover, we quantify the error of adopting known distributions to represent the data in a unified way. The results obtained for the different datasets show that the Generalized Extreme Value (GEV) distribution is the approximation exhibiting the lowest error, being a candidate to model the E2E delay for a large variety of scenarios.

Original languageEnglish
Title of host publicationProceedings of the 2021 12th International Conference on Network of the Future, NoF 2021
EditorsCarmen Mas Machuca, Lucia Martins, Susana Sargento, Tim Wauters, Luisa Jorge, Nazih Salhab, Prosper Chemouil
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)978-1-6654-2434-9
ISBN (Print)978-1-6654-2435-6
DOIs
Publication statusPublished - 10 Jul 2021
Event12th International Conference on Network of the Future, NoF 2021 - Coimbra, Portugal
Duration: 6 Oct 20218 Oct 2021

Conference

Conference12th International Conference on Network of the Future, NoF 2021
Country/TerritoryPortugal
CityCoimbra
Period6/10/218/10/21

Keywords

  • End-to-End delay
  • Heterogeneous Networks
  • Quality of Service

Fingerprint

Dive into the research topics of 'Characterization of the End-to-End Delay in Heterogeneous Networks'. Together they form a unique fingerprint.

Cite this