Event monitoring and observability for industrial systems on azure cloud

Tanees Ahmed, Haseeb Ahmed Qureshi, Mohammad Kaleem*, Sajid Nazir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Cloud computing is a paradigm shift transforming data processing, communications and storage. It offers a cost-effective method that facilitates real-time data collection, storage and exchange by providing services such as compute, processing, storage and networking. This allows customers and enterprises to access any data or application from anywhere in the world over an Internet connection. This computation and availability model is a perfect fit for critical industrial applications such as power generation. The number and types of deployed sensors is on the increase requiring large scale storage, networking, and processing available on cloud platforms. We developed an Azure based application that generates a motion triggered event notification and provides access to the live video stream of the event location. The event is also recorded in a database and an email alert is sent to the subscribed operator. The implementation shows the importance of such systems for industrial applications requiring timely access to information.
Original languageEnglish
Title of host publicationIEEC 2021 Proceedings
PublisherThe Institution of Engineers Pakistan
Number of pages6
Publication statusPublished - 8 Apr 2021
Event6th International Electrical Engineering Conference - NED University of Engineering and Technology (& Online), Karachi, Pakistan
Duration: 8 Apr 20218 Apr 2021
https://ieec.neduet.edu.pk/ (Link to conference website)

Publication series

NameInternational Electrical Engineering Conference
ISSN (Print)2523-126X

Conference

Conference6th International Electrical Engineering Conference
Abbreviated titleIEEC 2021
Country/TerritoryPakistan
CityKarachi
Period8/04/218/04/21
Internet address

Keywords

  • cloud computing
  • Azure cloud
  • livestream
  • monitoring

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