Research Area:  Internet of Things
Message queuing telemetry transport (MQTT), one of the most popular application layer protocols for the Internet of Things, works according to a publish/subscribe paradigm where clients connect to a centralized broker. Sometimes (e.g., in high scalability and low-latency applications), it is required to depart from such a centralized approach and move to a distributed one, where multiple MQTT brokers cooperate together. Many MQTT brokers (both open source or commercially available) allow to create such a distributed environment: however, it is challenging to select the right solution due to the many available choices. This article proposes, therefore benchmarking framework for distributed MQTT brokers (BORDER), a framework for creating and evaluating distributed architectures of MQTT brokers with realistic and customizable network topologies. Based on isolated Docker containers and emulated network components, the framework provides quantitative metrics about the overall system performance, such as End-to-End latency as well as network and physical resources consumed. We use BORDER to compare five of the most popular MQTT brokers that allow the creation of distributed architectures and we release it as an open-source project to allow for reproducible researches.
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Author(s) Name:  Edoardo Longo; Alessandro Enrico Cesare Redondi; Matteo Cesana; Pietro Manzoni
Journal name:  IEEE Internet of Things
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Publisher name:  IEEE
DOI:  10.1109/JIOT.2022.3155872
Volume Information:  Volume: 9, (2022)
Paper Link:   https://ieeexplore.ieee.org/document/9724236