IoT and Edge

Concierge is a small-footprint implementation of the OSGi Core Specifications R5 standard optimized for mobile and embedded devices.

The Krikkit architecture is a publish/subscribe mechanism where rules/policies are registered on edge routers/gateways that have visibility into and communicate with sensors.

The Mihini project delivers an embedded runtime running on top of Linux, that exposes an high-level Lua API for building Machine-to-Machine applications.

Eclipse Kanto is a modular IoT edge software stack for devices that enables them for AIoT with all the essentials - cloud connectivity and digital twins, local messaging, container management and

Wakaama provides APIs for a server application to send commands to registered LWM2M Clients. On client applications, Wakaama checks received commands for syntax and access rights and then dispatches them to the relevant objects.

Eclipse Hono™ provides remote service interfaces for connecting large numbers of IoT devices to a back end and interacting with them in a uniform way regardless of the device communication protocol

Eclipse Hara™ provides a reference agent software implementation featuring the Eclipse hawkBit device API. Such reference implementations are initially driven by operating systems and application

Eclipse Cyclone DDS™ is an implementation of the OMG Data Distribution Service (DDS) specification (see http://www.omg.org/spec/DDS/ ) and the related specifications for interoperability (see http:/

Eclipse Thingweb™ offers components for making IoT solutions interoperable at scale by leveraging the W3C WoT standards, no matter if improving an existing solution or building a new one: Describe

Eclipse Leshan™ is an OMA Lightweight M2M (LWM2M) implementation in Java. Leshan provides libraries which help people to develop their own Lightweight M2M server and client. The project also provides

Through HIP, localised processing or preperation of data is intended to reduce the connectivity and central processing requirements within IOT - much like the contemporary Fog computing paradigm, but