Fog Computing and Edge computing

Rajnish Kumar
Follow me

Rajnish Kumar

Enabling APIs, IOT (Internet Of Things), Artificial Intelligence ecosystem to our customer and latest technology trend. Worked with our client over 20 years in Project Management, Architecture of Enterprise application and application development .
Extensively worked on IOT, Microservices, APIs,SOA application, Cloud, Amazon AWS,Big Data, Analytics, Artificial intelligence and Security.
Rajnish Kumar
Follow me

Latest posts by Rajnish Kumar (see all)

IOT, Connect car, Automated car getting lot of traction in current word. All big companies want to be part of this process. All kind of sensors are installed in these vehicles. These sensors generate Terabytes of data and computing these data to run vehicle smoothly. Connected car or IOT based devices are completely based on computing power and quick response.

Sending data and computing these data in cloud could be catastrophic. Any network latency and processing delay might end with bad result. For example, your automated car is traversing through busy street. Suddenly a person comes in front of automated car. In this scenario, any network latency, slowness of computation and analysis effects the decision and subsequent action (Apply brake on car).

In IOT based device, any computing near to IOT device can reduce this risk. So how can we make this happen, if your all computing power are in cloud and data is in cloud.

Fog Computing & Edge computing

FOG Computing–In context of IOT, if intelligence pushes d down to the local area network (LAN) and compute these data in IOT gateway or FOG node will reduce network latency risk. Fogging or FogNetwork is decentralized computing and stores data in most logical and efficient place between IOT device and the cloud.

In FOG computing, data transported from IOT to Cloud need many steps.

  1. Signals from IOT is transported through wire to I/O point of device programmable automation controller(PLC). PLC execute control system program to automate system.
  2. Control system program sends data to protocol gateway, which convert this data into a protocol, understand internet systems such as MQTT or HTTP.
  3. At the end, data is send to fog node or IOT gateway on the LAN, which collects the data and preform analysis and computing on data. This even stores the data to transfer further to cloud network for later processing and intelligence.

Edge Computing — Edge computing refers to any computing infrastructure near to source of data (i.e. IOT device). So, Making IOT device smart and intelligent enough to take decision near to data gateway. The role of edge computing is to process data, store data in local device and transfer data to fog or cloud network. Above all processes are automated through PAC (Programmable automation controller) by executing board controlled system program. In edge computing, intelligence literally push to edge of network where our IOT device and outside network first connect to each other.

This entry was posted in API, Cloud, cloud computing, Fog computing, IOT, microservices by Rajnish Kumar. Bookmark the permalink.
Rajnish Kumar
Follow me

Rajnish Kumar

Enabling APIs, IOT (Internet Of Things), Artificial Intelligence ecosystem to our customer and latest technology trend. Worked with our client over 20 years in Project Management, Architecture of Enterprise application and application development . Extensively worked on IOT, Microservices, APIs,SOA application, Cloud, Amazon AWS, Big Data, Analytics, Artificial intelligence and Security.

One thought on “Fog Computing and Edge computing

  1. Pingback: APIs for IOT and FOG computing | Vanrish.com

Leave a Reply

Your email address will not be published. Required fields are marked *