dSpace: Composable Abstractions for Smart Spaces

We present dSpace, an open and modular programming framework that aims to simplify and accelerate the development of smart space applications. To achieve this, dSpace provides two key building blocks digivices that implement device control and actuation and digidata that process IoT data to generate events and insights. In addition, dSpace introduces novel abstractions - mount, yield, and pipe - via which digivices and digidata can be composed into higher-level abstractions. We apply dSpace to home automation systems and show how developers can easily and flexibly leverage these abstractions to support a wide range of home automation scenarios. Finally, we show how the dSpace concepts can be realized using a microservices-based architecture and implement dSpace as a Kubernetes-compatible framework.