MECPerf experimentation on Fed4FIRE+/NITOS

This dataset contains the outcome of the MECPerf experiment, funded within the 6th Fed4FIRE+ open call for experimenters. MECPerf is an open source tool to measure key performance indices (KPIs) of a MEC/cloud infrastructure, at both network and application level. MECPerf is available at github.com/MECPerf/MECPerf.

The dataset contains bandwidth and latency measurements collected in three different operational scenarios: i) active measurements, in which MECPerf measures KPIs such as TCP bandwidth, UDP bottleneck capacity, TCP and UDP RTT of a MEC and a cloud environment, in presence of increasing cross traffic; ii) passive measurements through edge application, in which a DASH streaming application running on multiple clients measures its own KPIs in presence of increasing cross traffic, and communicates them to MECPerf via an open interface; iii) passive measurements through traffic redirection, in which MECPerf sniffs the traffic produced in the same setup as scenario ii to extract KPIs.