This microservice is part of the Fogbow ecosystem of microservices. It provides the ability to create private networks spanning multiple cloud providers. It also allows the creation of virtual machines that can be attached to the federated networks created by the service.
Who shall use?
Distributed application developers and managers, and system administrators of distributed data centres.
What’s its value add?
Trouble-free communication of virtual machines deployed in different private cloud providers.
What are the unique selling points?
Facilitates the deployment of applications that run on virtual machines that run at different providers. Using a federated network, these VMs will be connected in a seamless way, without the need of any intervention from site administrators to setup VPNs across cloud providers.
The “Advanced Federated Network Component”, from Fogbow, provides numerous improvements to the collector used for P4 In-Network-Telemetry. The new collector is available to the community and is promoted at relevant events. The P4 language, (“Programming Protocol-independent Packet Processors”), it is a non-profit organization formed by a group of engineers and researchers from Google, Intel, Microsoft Research, Barefoot Networks, Princeton and Stanford. They required an industry-standard open programming language, so they developed P4, which is easy to learn and can be used to precisely define how packets are being forwarded within the network infrastructure.
The EOSC-SYNERGY is a European project aiming at expanding the capacity and capabilities of the European Open Science Cloud (EOSC) by leveraging the experience, effort and resources of national publicly-funded digital infrastructures. EOSC-SYNERGY will foster the use of EOSC services (including ATMOSPHERE services) for the improvement of the capacity and capability of 10 thematic services for data science, 7 of them already in production. Moreover, one of the thematic services is led by Federal University of Campina Grande and relies on the use of Fogbow as the backend for the processing of climate indicators related to the vegetation.