@inproceedings{0c16ae2d0c7e471eb41e34c5e177ff2c,
title = "Detection of dangers in human health with iot devices in the cloud and on the edge",
abstract = "Smart bands are wearable devices that are frequently used in monitoring people{\textquoteright}s activity, fitness, and health state. They can be also used in early detection of possibly dangerous health-related problems. The increasing number of wearable devices frequently transmitting data to scalable monitoring centers located in the Cloud may raise the Big Data challenge and cause network congestion. In this paper, we focus on the storage space consumed while monitoring people with smart IoT devices and performing classification of their health state and detecting possibly dangerous situations with the use of machine learning models in the Cloud and on the Edge. We also test two different repositories for storing sensor data in the Cloud monitoring center – a relational Azure SQL Database and the Cosmos DB document store.",
keywords = "Cloud computing, Data exploration, Edge computing, Internet of Things, IoT",
author = "Mateusz Go{\l}osz and Dariusz Mrozek",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019 ; Conference date: 28-05-2019 Through 31-05-2019",
year = "2019",
doi = "10.1007/978-3-030-19093-4\_4",
language = "English",
isbn = "9783030190927",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "40--53",
editor = "Stanis{\l}aw Kozielski and Dariusz Mrozek and Pawe{\l} Kasprowski and Bo{\.z}ena Ma{\l}ysiak-Mrozek and Daniel Kostrzewa",
booktitle = "Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings",
address = "Germany",
}