NEWS Elastisys, a spin-off company from Umeå University, is one of the participants in an international project with novel fog computing technologies. One of the applications is smart water management.
The team at Elastisys.
ImageElastisysFogGuru is a “European Industrial Doctorate” project which aims to train the next generation of European Fog computing experts. It has received funding from the European Union’s Horizon 2020 research and innovation program.
The FogGuru Living Lab aims to bring innovative Fog Computing technologies developed by the project’s early-stage researchers out of the lab and to apply them to a real use-case with technological as well as societal impact.
The project involves eight early-stage researchers, coordinated by a consortium composed by two prestigious universities (University of Rennes 1 and the Technical University of Berlin), a leading education organisation (EIT Digital Rennes) the innovation center of the municipality of València (Las Naves) and two deep-tech SMEs, U-Hopper in Trento and the Umeå based Elastisys.
Elastisys from Umeå, Sweden, is one of the partners in the project. It is a spin-off company from the successful cloud resource management research at Umeå University. Elastisys provides products and services for scalable and responsive IT systems, with an emphasis on auto-scaling with multi-cloud capabilities. Elastisys products and services extend on decades of internationally leading research in distributed systems, high performance computing, and autonomous management of virtualized resources.
On the project web page the results are described:
The FogGuru European project aims to develop innovative Fog computing technologies and to train the next generation of European Fog computing experts. This constitutes an excellent opportunity to create a “Living Lab” with the partner Las Naves in València where Fog computing technologies is tried in real settings, and demonstrate their usefulness to address real-world problems.
Fog computing extends cloud computing deployments with additional compute, storage and networking resources located in the proximity of users and IoT devices. Processing incoming data very close to their source allows one to reduce the pressure on the backhaul networking infrastructure, and may even allow disconnected operation in case of a failure of the device-to-cloud connection. In the specific case of water management, Fog computing technologies are expected to bring faster detection of abnormal water consumption patterns, independence from the smart water meter manufacturers, and improved resilience and flexibility of the overall smart metering platform.