Gokan Khan et al.

This dataset is being used to evaluate PerfSim accuracy and speed against a real deployment in a Kubernetes cluster based on sfc-stress workloads.

Dataset Files

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[1] Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler, "Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/6daj-dh08. Accessed: May. 08, 2021.
@data{6daj-dh08-21,
doi = {10.21227/6daj-dh08},
url = {http://dx.doi.org/10.21227/6daj-dh08},
author = {Michel Gokan Khan; Javid Taheri; Auday Al-Dulaimy; Andreas Kassler },
publisher = {IEEE Dataport},
title = {Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads},
year = {2021} }
TY - DATA
T1 - Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads
AU - Michel Gokan Khan; Javid Taheri; Auday Al-Dulaimy; Andreas Kassler
PY - 2021
PB - IEEE Dataport
UR - 10.21227/6daj-dh08
ER -
Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler. (2021). Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads. IEEE Dataport. http://dx.doi.org/10.21227/6daj-dh08
Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler, 2021. Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads. Available at: http://dx.doi.org/10.21227/6daj-dh08.
Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler. (2021). "Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads." Web.
1. Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler. Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/6daj-dh08
Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler. "Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads." doi: 10.21227/6daj-dh08