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

Diyar Fadhil; Rodolfo Oliveira

doi:10.1109/NoF52522.2021.9609836

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

Diyar Fadhil, Rodolfo Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021
Editors	Carmen Mas Machuca, Lucia Martins, Susana Sargento, Tim Wauters, Luisa Jorge, Nazih Salhab, Prosper Chemouil
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	978-1-6654-2434-9
ISBN (Print)	978-1-6654-2435-6
DOIs	https://doi.org/10.1109/NoF52522.2021.9609836
Publication status	Published - 10 Jul 2021
Event	12th International Conference on Network of the Future, NoF 2021 - Coimbra, Portugal Duration: 6 Oct 2021 → 8 Oct 2021

Conference

Conference	12th International Conference on Network of the Future, NoF 2021
Country/Territory	Portugal
City	Coimbra
Period	6/10/21 → 8/10/21

Keywords

End-to-End delay
Heterogeneous Networks
Quality of Service

Access to Document

10.1109/NoF52522.2021.9609836

Cite this

Fadhil, D., & Oliveira, R. (2021). Characterization of the End-to-End Delay in Heterogeneous Networks. In C. M. Machuca, L. Martins, S. Sargento, T. Wauters, L. Jorge, N. Salhab, & P. Chemouil (Eds.), Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/NoF52522.2021.9609836

Fadhil, Diyar ; Oliveira, Rodolfo. / Characterization of the End-to-End Delay in Heterogeneous Networks. Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021. editor / Carmen Mas Machuca ; Lucia Martins ; Susana Sargento ; Tim Wauters ; Luisa Jorge ; Nazih Salhab ; Prosper Chemouil. Institute of Electrical and Electronics Engineers (IEEE), 2021.

@inproceedings{afc143529be0425c959ad108eb6eadfb,

title = "Characterization of the End-to-End Delay in Heterogeneous Networks",

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.",

keywords = "End-to-End delay, Heterogeneous Networks, Quality of Service",

author = "Diyar Fadhil and Rodolfo Oliveira",

note = "Funding Information: info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-TEL%2F30709%2F2017/PT# info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-TEL%2F30433%2F2017/PT# UIDB/EEA/50008/2020. ; 12th International Conference on Network of the Future, NoF 2021 ; Conference date: 06-10-2021 Through 08-10-2021",

year = "2021",

month = jul,

day = "10",

doi = "10.1109/NoF52522.2021.9609836",

language = "English",

isbn = "978-1-6654-2435-6",

editor = "Machuca, {Carmen Mas} and Lucia Martins and Susana Sargento and Tim Wauters and Luisa Jorge and Nazih Salhab and Prosper Chemouil",

booktitle = "Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Fadhil, D & Oliveira, R 2021, Characterization of the End-to-End Delay in Heterogeneous Networks. in CM Machuca, L Martins, S Sargento, T Wauters, L Jorge, N Salhab & P Chemouil (eds), Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021. Institute of Electrical and Electronics Engineers (IEEE), 12th International Conference on Network of the Future, NoF 2021, Coimbra, Portugal, 6/10/21. https://doi.org/10.1109/NoF52522.2021.9609836

Characterization of the End-to-End Delay in Heterogeneous Networks. / Fadhil, Diyar ; Oliveira, Rodolfo.
Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021. ed. / Carmen Mas Machuca; Lucia Martins; Susana Sargento; Tim Wauters; Luisa Jorge; Nazih Salhab; Prosper Chemouil. Institute of Electrical and Electronics Engineers (IEEE), 2021.

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

TY - GEN

T1 - Characterization of the End-to-End Delay in Heterogeneous Networks

AU - Fadhil, Diyar

AU - Oliveira, Rodolfo

N1 - Funding Information: info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-TEL%2F30709%2F2017/PT# info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-TEL%2F30433%2F2017/PT# UIDB/EEA/50008/2020.

PY - 2021/7/10

Y1 - 2021/7/10

N2 - 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.

AB - 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.

KW - End-to-End delay

KW - Heterogeneous Networks

KW - Quality of Service

UR - http://www.scopus.com/inward/record.url?scp=85123464166&partnerID=8YFLogxK

U2 - 10.1109/NoF52522.2021.9609836

DO - 10.1109/NoF52522.2021.9609836

M3 - Conference contribution

AN - SCOPUS:85123464166

SN - 978-1-6654-2435-6

BT - Proceedings of the 2021 12th International Conference on Network of the Future, NoF 2021

A2 - Machuca, Carmen Mas

A2 - Martins, Lucia

A2 - Sargento, Susana

A2 - Wauters, Tim

A2 - Jorge, Luisa

A2 - Salhab, Nazih

A2 - Chemouil, Prosper

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 12th International Conference on Network of the Future, NoF 2021

Y2 - 6 October 2021 through 8 October 2021

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this