Download from here the dataset we collected for the WiNTECH17 paper titled  “FLEX-MONROE: A Unified Paper for Experiments under Controlled and Operational LTE Settings”.

The metrics we retrieve in the WebWorks dataset include PLT, size of web-page in bytes, number of objects, types of objects, size of each object, per-object download time (including DNS resolution, TCP connect, send, wait and request timings) and different numbers of domains that are accessed during the experiment.
In the same time as running \identifier{WebWorks}, we retrieve network-side context features (Metadata) from all the MONROE node(s) we instrument, both native MONROE and FLEX-MONROE nodes.
The list of parameters is extensive and includes the radio access technology (RAT), connection mode, signal strength metrics, RAT-specific parameters, sensor data (e.g., node temperature), RTT and number of hops to the primary web-page server.
While experimenting with FLEX-MONROE, we register the state of the LTE network, which we log in the FLEX network state dataset. The FLEX network state dataset collects the state of various wireless parameters (e.g., frequency band indicator, downlink bandwidth, uplink bandwidth, modulation and coding profiles, etc.), the power control parameters (e.g., PUCCH SINR Target, PDCCH Power Control, etc.), and CQI report.
We also leverage other MORNOE EaaS (i.e., HTTP download) and collect QoS parameters in FLEX-MONROE.
This allows us to observe how variations in the QoS relate with the network context data and further impact the web performance.
We store all this data in the MONROE storage solution, where we define a special repository for FLEX-MONROE