2017
DOI: 10.1007/978-1-4842-2143-3
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IoT Solutions in Microsoft's Azure IoT Suite

Abstract: Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not … Show more

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Cited by 30 publications
(17 citation statements)
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“…Python is also used in the project to allow for using a wider range of libraries, and to not limit developers and users to Scala. Azure Datafactory [24] is used as the ETL pipeline orchestrator. The compute clusters are managed by Databricks [12], where Python, Scala or R code is executed.…”
Section: Tech Stack Overviewmentioning
confidence: 99%
“…Python is also used in the project to allow for using a wider range of libraries, and to not limit developers and users to Scala. Azure Datafactory [24] is used as the ETL pipeline orchestrator. The compute clusters are managed by Databricks [12], where Python, Scala or R code is executed.…”
Section: Tech Stack Overviewmentioning
confidence: 99%
“…Development of home network device SDK based on multiple sensors for universal services [36,37] • Home network device technology for supporting multiple sensors and services through an integrated single platform • Technology for converging more than two sensor functions • Various analytical and visualization technologies for the performance, prediction, modeling, and improvement of smart building based on big data…”
Section: Datamentioning
confidence: 99%
“…Mobile edge computing (MEC) [8] has the advantages of lower energy consumption, powerful computation capacity and reduced latency. MEC has been extensively studied in computer science, including system architectures (MAUI [9], Fog Computing [10]), edge management (edge caching [11], edge workload scheduling [12]), existing products (Azure IoT Edge [13], AWS Greeengrass [14]). Offloading intensive computation task to nearby edge server can solve those issues which has made in-depth study.…”
Section: A Prior Workmentioning
confidence: 99%