The term ‘Edge computing’ can be something new to your ears, but instead of representing a completely new and revolutionary concept it rather upholds the way computing evolved over the years. Basically, Edge computing is the concept that originated from the content delivery and peer-to-peer networks that we used to know earlier. The core value of the concept is to deliver computing capabilities and data analytics closer to the last leg of a network where data is produced. Undoubtedly, this local computing available at the very edge of a network can boost the real time ability of analytics.
Instead of delivering the data to a central unit for analytics and computing, the computing and analytics available locally at the network edge can boost data processing and data analytics better. Basically, it is about making the processing mechanism available close to the source of the data.
What made Edge Computing so important?
In a connected world of devices and gadgets continuously sharing and streaming data for faster and effective user interactions, processing data at lightning pace is more important than ever. The speed requires real time or instantaneous data processing which cannot be done without localised computing ability represented by the Edge Computing.
Key industries to benefit from Edge Computing
Smart workplace and smart cities: Digitally connected smart environments like smart workplaces and smart cities can benefit hugely from Edge Computing. Typically computing capability present locally around various participatory systems like
user devices, workplace automation systems, traffic systems, health-care systems, security systems, utilities etc will reduce the latency and make the environment more responsive and efficient.
Smart transport: With real time computing endured close to the sensors in digitally equipped vehicles, we can expect real time and local analytics to guide the drivers for better traffic routes, on-road safety, car speed, etc. Connected sensors in a vehicle in collaboration with far fetched data can produce effective insights and data driven guidance for the on-road vehicle.
Smart homes: Smart homes with their plethora of connected gadgets will be the biggest beneficiary of edge computing. Various connected devices becoming self sufficient data centres can produce a bounty of valuable insights for fast paced decision making process. This will help devices around you more responsive to your preference, needs and contexts.
Media and web content: Thanks to CDNs we are already having easy and local access to contents independent of the remote servers. This would further have a boost from the edge computing and without depending on the remote data processing, the content delivery can be decided locally based on the user context, preference and needs. This will make media and web more responsive, collaborative and contextual to the user needs.
Manufacturing industry: Already manufacturing sector is enjoying the latest breed of intelligent technologies like robotics, machine learning, artificial intelligence etc. Now this Intelligence until now mostly collaborated with central data processing. With edge computing all set to allow local data processing, the manufacturing decisions can be reached locally within every units. Unquestionably, this will only boost efficiency of the whole industry.
Edge computing already seems to be the obvious outcome as the overwhelming number of devices and gadgets and the connected environment no longer can depend upon far fetched computing power to serve real time needs. In the time to come edge computing will make almost every device a small data centre for its own needs.