2021/12/07 by Martin Štufi, Štufi, Martin, Boris Bačić +1
Computer Science · #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Software Engineering (cs.SE) #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2112.03997
openalex publication_date 2021/12/07 · openalex created_date 2022/11/19 · openalex updated_date 2026/07/28
There is a growing trend for enterprise-level Internet of Things (IoT)\napplications requiring real-time horizontally scalable data processing\nplatforms. Real-time processing platforms receiving data streams from sensor\nnetworks (e.g., autonomous and connected vehicles, smart security for\nbusinesses and homes, smartwatches, fitness trackers, and other wearables)\nrequire distributed MQTT brokers. This case study presents an IoT data\nstreaming testbed platform prepared for the Czech Post. The presented platform\nhas met the throughput requirement of 2 million messages per 24 hours\n(comprising SMS and emails). The tested MQTT broker runs on a single virtual\nnode of a horizontally scalable testbed platform. Soon the Czech Post will\nmodernise its eServices to increase package deliveries aligned with eCommerce\nand eGovernment demands. The presented testbed platform fulfils all\nrequirements, and it is also capable of processing thousands of messages per\nsecond. The presented platform and concepts are transferable to healthcare\nsystems, transport operations, the automotive industry, and other domains such\nas smart cities.\n