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Excessive tail end-to-end latency occurs with conventional message brokers asa result of having massive numbers of geographically distributed devicescommunicate through a message broker. On the other hand, broker-less messagingsystems, though ensure low latency, are highly dependent on the limitation ofdirect device-to-device (D2D) communication technologies, and cannot scale wellas large numbers of resource-limited devices exchange messages. In this paper,we propose FogMQ, a cloud-based message broker system that overcomes thelimitations of conventional systems by enabling autonomous discovery,self-deployment, and online migration of message brokers across heterogeneouscloud platforms. For each device, FogMQ provides a high capacity device cloningservice that subscribes to device messages. The clones facilitate near-the-edgedata analytics in resourceful cloud compute nodes. Clones in FogMQ apply Flock,an algorithm mimicking flocking-like behavior to allow clones to dynamicallyselect and autonomously migrate to different heterogeneous cloud platforms in adistributed manner.

FogMQ: A Message Broker System for Enabling Distributed, Internet-Scale IoT Applications over Heterogeneous Cloud Platforms