Efficient Method for Continuous IoT Data Stream Indexing in the Fog-Cloud Computing Level
Karima Khettabi,
Zineddine Kouahla,
Brahim Farou
et al.
Abstract:Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this work, we propose an efficient method, in the fog-cloud computing architecture, to index continuous and heterogeneous data streams in metric space. This method divides the fog layer into three levels: clustering, clusters processing and indexing. The Density-Bas… Show more
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