- KITEMATIC CONFIGURE NETWORK HOW TO
- KITEMATIC CONFIGURE NETWORK INSTALL
- KITEMATIC CONFIGURE NETWORK SOFTWARE
The bottom layer of the architecture is the wired and wireless sensor network connectivity layer.The customer can easily develop and deploy its own service in EIS SW architecture. This makes it easier to deploy distinct experiences for specific users, devices, or specialized use cases. At runtime, each instance is a Docker container. All microservices would expose an API that’s consumed by other microservices or clients. Services use MQTT broker as the communication bus. Each service is now implemented by its own microservice.
KITEMATIC CONFIGURE NETWORK SOFTWARE
The EIS Software Architecture classified into 5 categories layers. This picture describes the EIS design concept, not all services are ready for to be released. The host OS also constrains the container's access to physical resources - such as CPU and memory - so a single container cannot consume all of a host's physical resources. Containers hold the components necessary to run the desired software, such as files, environment variables, and libraries. This guarantees that it will always run the same, regardless of the environment it is running in.
KITEMATIC CONFIGURE NETWORK INSTALL
As shown in above picture, containers share the same OS kernel as the host, containers can be more efficient than VMs, which require separate OS instances.ĭocker containers wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server. Instead, multiple isolated systems, called containers, are run on a single control host and access a single kernel. The following describes the Docker Container technology and advantages.Ĭontainerization - is an OS-level virtualization method for deploying and running distributed applications without launching an entire VM for each application. It makes easily migrate your application into EIS system. Customer can build a CentOS Container to service it and integrate with EIS system. For example, a customer’s application runs in CentOS. Customer can easily migrate application with Docker Container. Enables each service to be scaled independentlyĮIS software service runs as a Docker Container.Enables each microservice to be deployed independently.Enables each service to be developed independently by a team that is focused on that service.Consequently, individual services are much faster to develop, and much easier to understand and maintain.Each microservice is a mini-application that has its own hexagonal architecture consisting of business logic along with various adapters. A service typically implements a set of distinct features or functionality, such as connectivity management, vertical application, etc. Instead of building a single monstrous, monolithic application, the idea is to split your application into set of smaller, interconnected services. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, easy implementation, modularization(containerized) and minimize latencies.ĮIS adopted the Microservice Architecture pattern. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics, and long-term storage.Īdvantech EIS adopts the Edge computing Architecture for IoT gateway solution. 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. 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. 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. Transmitting massive amounts of raw data over a network puts a tremendous load on network resources. IoT data can be large in terms of volume and the applications typically have real-time requirements.
KITEMATIC CONFIGURE NETWORK HOW TO
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. This page introduces Advantech Edge Intelligence Server (EIS) for Internet of Things gateway solution. 3.1 Delopy EIS Image to USB or HDD Disk.2.3.2.6 Add your device in this Group ( IoTGW device and WSN SenHub ).2.3.2.5 Create a "Group" for device management.2.3.2.4 Set up your WISE-PaaS2.0 account and connect.Please remove it and re-install the latest version. 2.3.2.3 Note: If you have installed ensaas-ei-agent.2.3.2.1 WISE-PaaS/EnSaaS Management Portal.