Title: Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms,
Abstract: To conduct a more realistic evaluation on Virtualized Network Functions
resource allocation algorithms, researches 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. Therefore
we have used data from previous empirical analyses and made some assumptions to
derive the required data to evaluate resource allocation algorithms for VNFs.
We developed four programs to model the gathered data and generate the required
data. All gathered data and data modelling programs are publicly available at
github repository.