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Project contains (Edge Node (LWM2M (Device Management (Read, Write,…
Project contains
Edge Node
LWM2M
Client Registration
De-register
Register update
Register
Device Management
Read
Write
Execute
Create
Delete
Write Attribute
Discovery
Information Reporting
Observe
Passive Cancel observation
Active Cancel observation
Notify
Security
Resource Model
Kubernetes Kubelet
Kubelet
An agent that runs on each node in the cluster. It makes sure that containers are running in a pod.
deployed containerized applications and workloads
contains a number of abstractions that represent the state of your system
GitLab Auto DevOps
Ambari Agent
Fog Computing (Can't form a cluster)
TensorFlow Lite
TensorFlow Lite上可以部署用自己的数据集定制化训练的模型
Java, C++
TensorFlow’s lightweight solution for mobile and embedded devices.
Caffe
Spark Worker
Standalone
On Yarn
In Kubernetes
Model
Type
Lib
Binary
Pipeline
Function
Upload
Edit
Train
Deploy & Test
Edge node selection
Test Performance Threshold rule setting
Version Control (History)
Build
List
Train and Test Record
Open Source
CDAP
Spark
Python
TensofFlow
Tool
GitLab
RTC
Jupyter
Zepplin
Dataset
Structure
Semi Structure
No Structure
Raw Data
For training purpose
CDAP
Data Preparation
CDAP Stream Client for Java
CDAP Stream Client for Python
CDAP Stream Client for Ruby
CDAP Flume
Data Pipeline
System Requirement on YARN needs 14 to 16 CPU cores and 14 to 16 GB of memory
Data Exploration
Kafka
Nifi
For backup purpose
Related to aep02-28
Artifact(document)