First version of the RAINBOW platform – Press release

14 September 2021

The 1^st version of the RAINBOW platform has been realised!

RAINBOW recently reached a significant milestone by delivering the first version of its integrated fog computing platform.

RAINBOW’s first release abstracts and seamlessly handles:

• The deployment description of IoT services through the drag ‘n’ drop Service Graph Editor.
• The near-optimal placement of IoT services on provisioned fog resources through RAINBOW’s Kubernetes-compliant Smart Orchestrator.
• The network administration that supports encrypted IPv6 data dissemination and reactive routing based on the CJDNS protocol deployed on top of Kubernetes Calico.
• The establishment of trust and verifying security primitives across the device-fog-cloud stack through RAINBOW’s “zero-conf” bootstrapping protocols.
• Pushing “intelligence” to the network “edge” with in-place data management through RAINBOW’s self-adaptive monitoring, intelligent storage fabric extending across the network overlay and fog-aware streaming analytics engine built on top of Apache Storm.

Additional information as well as access to the code repository of the early release of RAINBOW’s integrated fog computing framework can be found here: https://rainbow-h2020.eu/platform-release/

About RAINBOW

The vision of RAINBOW is to design and develop an open and trusted fog computing platform that facilitates the deployment and management of scalable, heterogeneous and secure IoT services and cross-cloud applications (i.e., microservices). RAINBOW falls within the bigger vision of delivering a platform enabling users to remotely control the infrastructure that is running, potentially, on hundreds of edge devices (e.g., wearables), thousands of fog nodes in a factory building or flying in the sky (e.g., drones), and millions of vehicles travelling in a certain area or across Europe. RAINBOW aspires to enable fog computing to reach its true potential by providing the deployment, orchestration, network fabric and data management for scalable and secure edge applications, addressing the need to timely process the ever-increasing amount of data continuously gathered from heterogeneous IoT devices and appliances. The developed solution will provide significant benefits for popular cloud platforms, fog middleware, and distributed data management engines, and will extend the open-source ecosystem by pushing intelligence to the network edge while also ensuring security and privacy primitives across the device-fog-cloud-application stack.