Edge Computing : Basic Details

Edge Computing is closely related to next generation Cloud Computing, Grid Computing, Private CDN and Elastic Computing and is deployed using load balancing. Edge Computing distributes applications, static data and other computing services to the extremity of a network.

 

How Edge Computing Works

 

Accessibility, Speed, Performance, Scalability of a Cloud Computing Network can be increased to several folds deploying Edge Computing. It bring a word, Node-less Computing. The data are fragmented to bit of information and distributed throughout the cache of Internet. These all points leads towards a single idea – increasing the Quality of Service provided through the Internet or the Internet is used for some reason or the other.

 

Overview of Edge Computing

 

There are various types of deployment of the power of Cloud Computing. To make the topic lucid, we are not using terminologies or difficult to understand phrases. To make the application of Edge Computing clear, take that we use Internet and Servers for 3 main reasons – One is to do something in real time from one geographical point to another, Second is to use a static data, Third is to use a real time data as a static data.

Example of the first type can be a chat application, controlling a server in US from India, controlling a robot in a University in US from India. These applications has to do with Edge Computing but to a certain point. Because they need the Load Balancing in a different way. Examples of the Second group can be of loading a website on browser. That is the most common use of Internet and Server and here Edge Computing plays a great role. Third Example is like watching a streaming Video. Edge Computing has to do here as well as the real time work is becoming Static.

There are few providers of Edge Computing. Akamai, Limelight Network, Exinda, EdgeCast are such examples who provides Enterprise level Edge Computing. To give an impression Edge Computing, Akamai has one hundred thousand servers over 75 countries to distribute a single cluster of data for a particular service.

 

This Article Has Been Shared 9396 Times!

Facebook Twitter Google+ Pinterest