Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms
| Main Authors: | Windhya Rankothge, Frank Le, Alessandra Russo, Jorge Lobo |
|---|---|
| Format: | info software Journal |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/290148 |
Daftar Isi:
- 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.