Big data and the internet of things in edge computing for smart city

Abstract

Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the smart agents. Besides, we suggest that these intelligent agents can be moved to the edge of the cloud and reduce the latency of the big data receiving. Finally, some numerical experiments with edge computing have been submitted to support this approach with optimization of two criteria. The first one is the CPU workload of the bottleneck computer and the second one is the communication workload of the bottleneck server.