Data Autonomy in Message Brokers in Edge and Cloud for Mobile Machinery: Requirements and Technology Survey

The future data-driven manufacturing ecosystems build upon data spaces where each participant controls how its own data are utilized. This goal is equally important in machinery where the networks comprise machine fleets and the data use cases range from local edge to various cloud systems and digital business integrations. These systems of systems require efficient, scalable data streaming with decoupled (e.g., publish-subscribe) platforms that enable the flexible connection of data producers and consumers in heterogeneous networks. This paper describes a work in progress about data autonomy, sovereignty, and trust in message brokers in machinery, aiming to contribute to initiatives, such as Gaia-X and International Data Spaces (IDS). First, the paper identifies requirements for platforms and communication that span edge and cloud. Second, it presents a technology survey about data autonomy in open, Internet-cabable brokers. These include Advanced Message Queueing Protocol (AMQP), MQ Telemetry Transport (MQTT), Apache Kafka and Apache Pulsar. It appears that there is little research about data autonomy in brokers and MQTT has the strongest base. The work continues to develop data autonomy into a message broker.