Since 2012, Fed4FIRE+ and its predecessor Fed4FIRE built, and run the largest federation of Next Generation Internet (NGI) experimentation facilities in Europe including also the federation with US GENI (instaGENI and exoGENI testbeds) and US Cloudlab.
Fed4FIRE+ offers a heterogeneous set of facilities covering technologies ranging from Wired networking, Software Distribution Network (SDN), Network Functions Virtualization (NFV), Wireless networking testbeds, 5G testbeds, IoT testbeds, Cloud, Big Data that are accessible with a single account via the jFed tool.
Fed4FIRE+ launched a series of free webinars that aims at providing open and reliable access to the use of its federated facilities to execute tests on a variety of technologies with a single access all around the world.
Join us and discover the Fed4FIRE+ webinars that will drive you through the use of the different testbeds.
The next webinars
WEBINAR #2: Wireless testbed w-iLab.t
Date: 3 December, at 10.00-11.00 CET
The w-iLab.t testbed enables all kinds of wireless, IoT, and 5G research. It provides more than 200 nodes in various environments (industrial environment, office, datacenter) with up to data WIFI hardware, user defined radios, mobile nodes and IoT devices. The experimenter has full control over all of them.
This webinar will provide an overview of the w-iLab.t resources such as wireless fixed and mobile nodes, IoT, officelab and portable testbed and a hands-on tutorial on using the testbed.
WEBINAR #3: GPULab testbed
Date: 16 December, at 10.00-11.00 CET
GPULab is a distributed system for running jobs in GPU-enabled Docker-containers. GPULab consists out of a set of heterogeneous clusters, each with their own characteristics (GPU model, CPU speed, memory, bus speed, etc.), allowing the user to select the most appropriate hardware. Each job runs isolated within a Docker containers with dedicated CPUs, GPUs and memory for maximum performance.
This webinar will provide an overview of the GPULab resources, the different ways of experimenting with GPULab and a hands-on tutorial experiment.
