Podcast
Questions and Answers
What is the main difference between traditional three-tier architecture and the three-tier architecture discussed in the text?
What is the main difference between traditional three-tier architecture and the three-tier architecture discussed in the text?
Which data sources can be fed into an IoT according to the text?
Which data sources can be fed into an IoT according to the text?
Where does the training of machine learning models take place in the edge computing architecture discussed?
Where does the training of machine learning models take place in the edge computing architecture discussed?
What is the responsibility of the Intelligence Tier in edge computing architecture?
What is the responsibility of the Intelligence Tier in edge computing architecture?
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Which tier forms the original endpoint where data is acquired in the context of industrial IoT environments?
Which tier forms the original endpoint where data is acquired in the context of industrial IoT environments?
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What type of devices are typically found in the Data Source Tier of edge computing architecture?
What type of devices are typically found in the Data Source Tier of edge computing architecture?
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Which component is notably absent in the discussed edge computing architecture's three-tier structure?
Which component is notably absent in the discussed edge computing architecture's three-tier structure?
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What is one characteristic of the overlap between cloud and edge in the intelligence layer?
What is one characteristic of the overlap between cloud and edge in the intelligence layer?
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What is responsible for defining a clear boundary between edge and cloud in the discussed edge computing architecture?
What is responsible for defining a clear boundary between edge and cloud in the discussed edge computing architecture?
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What can be considered as potential sources of data for feeding into an IoT system according to the text?
What can be considered as potential sources of data for feeding into an IoT system according to the text?
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Study Notes
Edge Computing Architecture
- Edge computing makes the cloud truly distributed and brings computation closer to the devices or sources of data
- It reduces latency by avoiding round-trips and ensures data sovereignty by keeping data where it belongs
- Edge computing allows local storage, compute, and network services, making it a distributed cloud
Three-Tier Architecture
- Edge computing follows a three-tier architecture: Data Source, Intelligence, and Actionable Insight
- This architecture is different from the traditional three-tier architecture, with no app server, database, or front-end
Data Source Tier
- The first tier is the Data Source, which is the original endpoint where data is acquired or originates
- In industrial IoT environments, this could be a set of devices generating data
Intelligence Tier
- The Intelligence Tier is responsible for running machine learning models
- This tier cuts across the cloud and the edge, with training happening on the cloud and inferencing on the edge
Actionable Insight Tier
- The Actionable Insight Tier is responsible for sending alerts to stakeholders, populating dashboards, and performing actions based on insights
- This tier takes place on the edge, with no physical boundary constraints
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Description
Explore the concepts of the actionable insight tier and summary layer in edge computing architecture. Learn about the functionalities of actionable insights such as sending alerts, populating dashboards, visualizations, and immediate actions.
