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UBITECH participates at the Online workshop on Edge Orchestration

On Tuesday June 21, 2022 at 17:30 CEST, the EC co-funded RAINBOW Research and Innovation Action ( is hosting an online workshop on “Edge Orchestration”. In particular, platforms for managing Cloud-only infrastructures, such as Kubernetes or OpenStack are well known. Recently various platforms for managing the Cloud-Edge continuum have started to emerge. Both, academia and industry, have presented innovative ideas for tackling the challenges of this domain over the past years. This workshop presents platforms for managing Cloud-Edge infrastructures and applications deployed on them.

In this context, UBITECH’s Konstantinos Theodosiou, Tech Leader at the company’s Computing Systems, Software and Services research group, introduces the audience to the RAINBOW trusted fog computing platform that simplifies the deployment and management of scalable, heterogeneous and secure IoT services. In particular, RAINBOW platform provides deployment, orchestration, network fabric and data management services 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.

RAINBOW provides users with: (i) an intuitive Dashboard and DevOps toolset enabling the description of application topologies and QoS requirements, (ii) a Fog Middleware with horizontal and vertical services for IoT orchestration, continuous service placement and management, adaptive monitoring, trust establishment and runtime verification and decentralized analytics; (iii) a Trusted Overlay Mesh Network as the control plane that efficiently abstracts the complexity of enforcing security and privacy crypto-primitives among fog services; and (iv) a Sidecar Proxy providing an execution environment embedded alongside service instances able to properly and efficiently manage both fog node resources and high volumes of data, which can be collected, stored, and analyzed in place to derive analytics.