Moreover, you have to think about the issues pertaining to the storage, security, and
processing delays. By the use of a staged approach, data preprocessing can help you to create
powerful results. For instance, you can use machine learning at the edge so you can detect
irregularities, which can help you to discover any existing maintenance issue.
You can use visualization tools to display your data by taking advantage of easy-to-
understand maps, graphs, and dashboards. Hyper-converged infrastructure and other highly
integrated computer systems are considered appropriate for such cases as they are easy to man-
age and deploy remotely whereas they also oer a good speed.
Fourth Layer (The Data Center and the Cloud)
When the data requires a greater degree of in-depth processing and when it is not necessary for
the feedback to be immediate, such data is routed to a cloud-based system or a physical data
center. These locations house robust IT systems that can manage, analyze, and store the data
with optimal security. While you might have to wait quite a while to get your output in this
layer, you can perform a more detailed analysis. In addition, you can also take the data from sen-
sors and integrate it with other data sources to receive valuable insights. Regardless of the fact
whether this processing occurs in the cloud, on-premises, or a hybrid cloud system, processing
fundamentals remain the same.
Quick Challenge
Think of at least five use cases where four layer architecture is more suitable. List all the
points which can prove your points.
SEVEN-LAYER ARCHITECTURE
The seven-layer architecture is composed of the following components.
7
6
5
4
3
2
1
Collaboration & Processesla
(Involving People & Business Processes)
Application
(Reporting, A nalytics, Control)
Data A bstraction
(Aggregation & Access)
Data A c cumulation
(Strorage)
Edge Computing
(Data Element Analysis & transformation)
Connectivity
(Communication & Processing units)
Physical Devices & Controllers
(The "Things" in IOE
Center
Edge
10
9
Sensors, Devices, Machines,
Intelligent edge Nodes of all types
Chapter 4 IoT Architecture Choices 83
Internet_of_Things_CH04_pp081-104.indd 83 9/3/2019 10:13:30 AM
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