EDGE Computing
“Any sufficiently advanced technology is indistinguishable from advanced technology “ — Arthur C. Clarke.
The present world that we live in. Need a solution where we are closely related to the world of computation, automation in collaboration with data storage!
Thanks to EDGE COMPUTING
The seeds for edge computing were laid back in the 1990s with the primary aim of serving the web and the video content from various edge servers! With the latest advances in networking ,Slowly the edge computing evolved and even got commercialized. For example, dealer locators, shopping carts, real-time data agitators in present real-world scenarios.
According to a great scientist Karim Arabi, Edge computing operates on instant data, i.e., the real-time data generated by the users or sensors, whereas cloud computing, on the other hand, depends on big data.
Concept:
With the increase in IoT devices, data is being generated at that massive rates. As a result, monitoring that Hercules amount of data at their data centers is difficult, Despite the improvements in the network hardware, there is no guarantee. Acceptable transfer rates and response times!
So, edge computing’s main task lies in moving away the computation from the data centers towards the network’s edge.
Privacy and security:
The distributed nature of edge computing will define a scope for change in the scheme of protection used in cloud computing. Different encryption mechanisms even have to be employed . A shift in the structure is noticeable. Which can even pave a path in transferring ownership to the end-users.
Speed and Efficiency:
Edge computing brings both analytical and computational resources close to the end-users and, therefore, speeds up communication speed.
This would be an added trait for some devices which need a short response time.
With the proximity of the analytical resources to the end-users, tools like sophisticated analytical and Artificial Intelligence can run on the system’s edge. This placement at the edge will increase operational efficiency and contribute many advantages to the system.
Applications:
Edge computing will reduce the volumes of data that must be moved, the consequent traffic, and the distance that data must travel.
An added advantage for facial recognition algorithms showed considerable improvements in response times, as demonstrated in early research.
Edge computing is a tremendous advantage for pixel Streaming
Smart cities, connected cars, Autonomous cars , industry 4.0, etc..
