10 Questions
What is the main difference between traditional three-tier architecture and the three-tier architecture discussed in the text?
The absence of an application server and a database in the new three-tier architecture.
Which data sources can be fed into an IoT according to the text?
Cameras, clickstream analysis, gaming, etc.
Where does the training of machine learning models take place in the edge computing architecture discussed?
Cloud
What is the responsibility of the Intelligence Tier in edge computing architecture?
Running machine learning models
Which tier forms the original endpoint where data is acquired in the context of industrial IoT environments?
Data Source Tier
What type of devices are typically found in the Data Source Tier of edge computing architecture?
Devices generating data
Which component is notably absent in the discussed edge computing architecture's three-tier structure?
Database server
What is one characteristic of the overlap between cloud and edge in the intelligence layer?
Training takes place on the cloud and inferencing occurs on the edge.
What is responsible for defining a clear boundary between edge and cloud in the discussed edge computing architecture?
Intelligence tier
What can be considered as potential sources of data for feeding into an IoT system according to the text?
Data generated by cameras and gaming platforms.
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
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.
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