Abstract
Message-oriented middleware is a key technology in todays Internet of Things (IoT). Centralized message brokers facilitate decoupled device-to-device communication and can transparently scale to handle many millions of messages per second. However, Cloud-based solutions, such as AWS IoT or Azure IoT Hub, cannot satisfy the stringent QoS and privacy requirements of many modern IoT scenarios. Instead, distributed middleware needs to leverage the ever- increasing amount of resources at the edge of the network to provide reliable, ultra-low-latency, and privacy-aware message routing. But the heterogeneity and volatility inherent to Edge resources, and the unpredictability of mobile clients, make it extremely challenging to provide resilient coordination mechanisms and guaranteed message delivery. Applying Osmotic Computing principles to message-oriented middleware opens new opportunities for solving these challenges.
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