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Temperature sensor data for locations in Smart-Santander testbed of Fed4FIRE+
This is a database dump with temperature sensor-values (called "phenomenons" in testbed API), collected during the Fed4FIRE+ project SECTOR (Algorithm to determine a cost-... -
SMART - Self-adaptive Machine Learning Approach for Real-time Tuning of IEEE...
Worldwide the demand for wireless access networks providing very high throughputs has been increasing exponentially, namely due to bandwidth-hungry applications such as high... -
SIMBED - Offline Real-World Wireless Networking Experimentation using ns-3
R&D in wireless networking typically depends on experimentation to make realistic evaluations, since simulation is inherently a simplification of the real-world. However,... -
SIMBED+ - Replicable Real Wireless Networking Experiments using ns-3
Wireless networking R&D depends on experimentation to make realistic evaluations of networking solutions, as simulation is inherently a simplification of the real-world.... -
Scanning X-band rainfall radar data for Machine Learning nowcast
The dataset presents a training set of rainfall files, used to develop a Long Short-Term Memory (LSTM) rainfall forecast. The format of input files is in NetCDF, packed as daily... -
Results of the MECinFire experiment in Fed4FIRE+ EU project
Multi-access Edge Computing (MEC) has been proposed as the means to drastically minimize the service access latency, by bringing computational resources and services closer to... -
Results of the DYNAMO experiment in the Fed4FIRE+ testbeds
The main objective of the DYNAMO Fed4FIRE+ experiment was to perform Network Function Virtualization (NFV) Management and Network Orchestration (MANO) of a cellular network on... -
MOTIVE - tiMe-OpTimized contextual Information flow on unmanned VEhicles...
The experimentation data were collected during the 6th Fed4FIRE+ Open Call (https://www.fed4fire.eu/) using the mobile nodes of the w-iLab.t (link) testbed. During this Open... -
MeshDapp: Blockchain-enabled Payment System for Wireless Mesh Networks - Dataset
The MeshDapp dataset includes data from the MeshDapp project - Fed4Fire+ Open Call 9 winner: Data includes: Network Measurement from the CityLab - Antwerp testbed and IRIS (TCD)... -
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... -
LoRa RSSI vs distance
The data set has been used in CityScan experiment within Fed4Fire+ continuous call. RSSI and packet loss between LoRa end device sending data packets and a set of stationary... -
Lightweight Self-adaptive Cloud-IoT Monitoring across Fed4FIRE+ Testbeds (LiSCIo)
Monitoring will be crucial to properly orchestrate next-gen services. Indeed, monitoring’s output can be exploited to choose where to deploy application services for the first... -
Librecast: IoT Software Updates over IPv6 Multicast Archive of all experimental data
The librecast project states that ``Multicast is, by definition, the most efficient way for multiple nodes to communicate''. This experiment is designed to provide evidence of... -
Internet on FIRE, a Fed4FIRE+ Experiment
Log files related to three different experiments done on the Fed4FIRE TestBeds within the Internet on Fire project. Experiment 1: BGP Tests related to Fabrikant topology.... -
IntelligentNFVAutoscaler
Modio's FED4FIRE+ experiment IntelligentNFVAutoscaler: Performance results from different autoscalers. -
HAMMER Experiment Dataset 1 - Fed4FIRE+
In this dataset, we provide the measurement results (DataSet1) conducted in the course of the HAMMER experiment for Fed4FIRE+. The objective of the Experiments is provided in... -
FlowBlaze on Fed4FIRE+ FB-FIRE Final Results of the Experiment
This repository contains the results of the FB-FIRE experiment. The aim of FB-FIRE is to test, validate and assess in the Fed4FIRE+ Virtual Wall testbed the performance of... -
[FED4FIRE+] [MMT-IoT] 6LoWPAN - IoT Traffic Dataset
The dataset contains the pcap files of IoT network traffic captured in the experiments with w-iLab.t and Log-a-Tec testbeds in the context of FED4FIRE+ open call project. -
Fed4Fire/CDN-X-ALL network metrics dataset for time series analysis in Media...
The following dataset was generated at VICOMTECH (https://www.vicomtech.org) under project/experiment CDN-X-ALL: "CDN edge-cloud computing for efficient cache and reliable... -
Fed4Fire/CDN-X-ALL M3AP, M2AP reference points implementation pcap datatsets...
Following datasets were generated at VICOMTECH (https://www.vicomtech.org) under project/experiment CDN-X-ALL: "CDN edge-cloud computing for efficient cache and reliable...