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It is manifest the growing research and industrial interest in scalable solutions for the efficient integration of large amounts of deployed sensors and actuators (Internet of Things - IoT-devices) and cloud-hosted virtualized resources for elastic storage and processing (including big data online stream processing). Such relevant attention is also demonstrated by the emergence of interesting IoT-cloud platforms from industry and open-source communities, as well as by the flourishing research area of fog/edge computing, where decentralized virtual resources at edge nodes can support enhanced scalability and reduced latency via locality-based optimizations. In this perspective, this paper proposes an innovative distributed architecture combining machine-to-machine industry-mature protocols (i.e., MQTT and CoAP) in an original way to enhance the scalability of gateways for the efficient IoT-cloud integration. In addition, the paper presents how we have applied the approach in the practical experience of efficiently and effectively extending the implementation of the open-source gateway that is available in the industry-oriented Kura framework for IoT.
Bellavista et al. (Thu,) studied this question.