The Azure platform in measuring - control systems based on Internet of Things concept

• Autorzy: Szulim R. , Markowski A. , Michta E.
• Języki publikacji: EN

Abstrakty

EN

In the paper, selected issues referring to the usage of Azure platform to build measuring - control systems using Internet of Things concept (IoT) are presented. The most important problems to overcome during the implementation of this type of tasks concerning the functioning of the existing implementations of the Internet and their solutions through the use of some functionality of the Azure platform are discussed.

Słowa kluczowe

EN

Internet of things (IoT); cloud computing; control – measurement systems

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 7
• Strony: 245--247
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Szulim R.

• University of Zielona Góra, Institute of Metrology, Electronics and Computer Science 2 Prof. Z. Szafrana St., 65-516 Zielona Góra

autor

Markowski A.

• University of Zielona Góra, Institute of Metrology, Electronics and Computer Science 2 Prof. Z. Szafrana St., 65-516 Zielona Góra

autor

Michta E.

• University of Zielona Góra, Institute of Metrology, Electronics and Computer Science 2 Prof. Z. Szafrana St., 65-516 Zielona Góra

Bibliografia

• [1] http://www.gartner.com/newsroom/id/2636073, Gartner Says the Internet of Things Installed Base Will Grow to 26 Billion Units By 2020, Gartner, 2013.
• [2] Miller M.: The Internet of Things: How Smart TVs, Smart Cars, Smart Homes, and Smart Cities Are Changing the World. Pearson Education Inc. 2015.
• [3] Waher P.: Learning Internet of Things, Packt Publishing, 2015.
• [4] Dhanjani N.: Abusing the Internet of Things, O’Reilly, 2015.
• [5] Belotserkovskiy A., Kaufman S., Sachdeva N.: Building Web Services with Microsoft Azure, Packt Publishing, 2015.
• [6] Barga R., Fontama V., Tok W. H.: Predictive Analytics with Microsoft Azure Machine Learning, Apress, 2015.
• [7] https://www.raspberrypi.org/products/raspberry-pi-3-model-b/, Raspberry products
• [8] https://msdn.microsoft.com/, Microsoft Developer Network

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).