Difference between revisions of "EIS Docker Container Base"
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This page introduces Advantech Edge Intelligence Server (EIS) for Internet of Things gateway solution. | This page introduces Advantech Edge Intelligence Server (EIS) for Internet of Things gateway solution. | ||
| − | To develop an IoT product will cover various technical fields include: Sensor, Connectivity, Secure, Cloud, Storage, device maintenance, Edge/Cloud Analytics, System Integration, Device Hardware, and Application development, and so on. One the first challenges that many companies face is how to migrate to an IoT application while balancing design time, time to market, and risk. | + | To develop an IoT product will cover various technical fields include: Sensor, Connectivity, Secure, Cloud, Storage, device maintenance, Edge/Cloud Analytics, System Integration, Device Hardware, and Application development, and so on. One the first challenges that many companies face is how to migrate to an IoT application while balancing design time, time to market, and risk. |
| − | IoT data can be large in terms of volume and the applications typically have real-time requirements. Transmitting massive amounts of raw data over a network puts a tremendous load on network resources. In some cases, it is much more efficient to process data near its source and send only the data that has value over the network to a Cloud center. Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. Time-sensitive data in an edge computing may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity to the client. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics, and long-term storage. | + | IoT data can be large in terms of volume and the applications typically have real-time requirements. Transmitting massive amounts of raw data over a network puts a tremendous load on network resources. In some cases, it is much more efficient to process data near its source and send only the data that has value over the network to a Cloud center. Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. Time-sensitive data in an edge computing may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity to the client. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics, and long-term storage. |
| − | <big>Advantech EIS</big> adopts the Edge computing Architecture for IoT gateway solution. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, easy implementation, modularization(containerized) and minimize latencies. | + | ''' <small><big>Advantech EIS</big></small>''' adopts the Edge computing Architecture for IoT gateway solution. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, easy implementation, modularization(containerized) and minimize latencies. |
Revision as of 02:49, 21 February 2017
Introduction
This page introduces Advantech Edge Intelligence Server (EIS) for Internet of Things gateway solution.
To develop an IoT product will cover various technical fields include: Sensor, Connectivity, Secure, Cloud, Storage, device maintenance, Edge/Cloud Analytics, System Integration, Device Hardware, and Application development, and so on. One the first challenges that many companies face is how to migrate to an IoT application while balancing design time, time to market, and risk.
IoT data can be large in terms of volume and the applications typically have real-time requirements. Transmitting massive amounts of raw data over a network puts a tremendous load on network resources. In some cases, it is much more efficient to process data near its source and send only the data that has value over the network to a Cloud center. Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. Time-sensitive data in an edge computing may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity to the client. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics, and long-term storage.
Advantech EIS adopts the Edge computing Architecture for IoT gateway solution. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, easy implementation, modularization(containerized) and minimize latencies.
EIS SW Solution
This picture describes the EIS design concept, not all services are ready for to be released. The EIS Software Architecture classified into 5 categories layers. Each service is now implemented by its own microservice. Services use MQTT broker as the communication bus. All microservices would expose an API that’s consumed by other microservices or clients. At runtime, each instance is a Docker container. This makes it easier to deploy distinct experiences for specific users, devices, or specialized use cases. The customer can easily develop and deploy its own service in EIS SW architecture.
Docker Container Services
api-gw
dust-link
mqtt-bus
hdd-pmq
node-red
wsn nodes
hdd-pmq node
Management
Webmin webadmin
Kitematic
Cloud Solutions
WISE-PaaS / WISE-Agent
EIS is pre-installed the WISEAgent connect to WISE-PaaS/RMM Cloud Server. You could refer WISE-Agent for detail information.
Specification
Release Note
How to Guide
Delopy EIS Image to USB or HDD Disk
To check USB or HDD Disk name
sudo fdisk -l
Deploy the image to USB flash drive . Note: The deploy process takes about 15 minutes.
sudo dd if=./EIS_V2.0.2_Ubuntu-14.04_3.19_20170220.img of=/dev/sdx bs=4M; sync
Boot for USB or HDD Disk
- Insert the USB Flash / HDD Drive into the ARK-2121L
- Boot up to the BIOS menu of your ARK-2121L by pressing ESC on the keyboard as it boots up.
- Change the boot device to be the USB/HDD flash drive, then press F4 to save and exit
- System should boot up using the USB Flash Drive.
- Log in as user: adv password: adv
- The EIS Version 2 is ready to use.
Re-size EIS File System
#sudo fdisk /dev/sdb d -> 2 : delete partition 2 n -> p -> 2 : w : write result #reboot #resize2fs /dev/sdb2
Check and Upgrade the EIS Docker Service to latest version
cd ~/Advantech/docker ./deploy.sh update
Development
WSN Simulator
Start and enter the WSN Simulator Docker Container bash
$cd ~/Advantech /docker $./deploy.sh wsn-sim.sh
You can design and edit your wsn type and senhub information. You can refer IoTGateway/Net HAL Simulator for detail information.
Start running the wsn-simulator. It will simulate WSN connectivity and senhub and send data to mqtt bus.
#./wisesim
Exit the container service
#exit
WSN Development Environment
Start and enter the WSN Development Docker Container bash
$cd ~/Advantech /docker $./deploy.sh wsn-dev.sh