Title: Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms

Type Software Windhya Rankothge, Frank Le, Alessandra Russo, Jorge Lobo (2017): Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms. Zenodo. Software. https://zenodo.org/record/290148

Authors: Windhya Rankothge (Universitat Pompeu Fabra) ; Frank Le (IBM Research) ; Alessandra Russo (Imperial College) ; Jorge Lobo (Universitat Pompeu Fabra) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

To conduct a more realistic evaluation on Virtualized Network Functions resource allocation algorithms, we needed data on: (1) potential NFs chains (policies), (2) traffic flows passing through these NFs chains, (3) how the dynamic traffic changes affect the NFs (scale out/in) and (4) different data center architectures for the NFC. However, there are no publicly available real data sets on NF chains and traffic that pass through NF chains. We have therefore used data from previous empirical analyses and made some assumptions to derive the required data. We developed four programs to model the gathered data and generate the required data.

More information

• DOI: 10.5281/zenodo.290148

Subjects

• Virtualized Network Functions, Resource allocation algorithms evaluation

Dates

• Publication date: 2017
• Issued: February 10, 2017

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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