- Edge computing enables data to be analyzed, processed, and transferred at the edge of a network – where things and people produce or consume that information.
- It brings computation and data storage closer to the devices where it’s being gathered, rather than relying on a central location that can be thousands of miles away.
Benefits of Edge Computing
- Useful for real time data processing applications.
- Very low or no latency.
- Cost effective: Saving of money as processing is done locally.
- Faster response time
- Interoperability between legacy and modern devices.
- Reliable operations with intermittent connectivity; low pressure on bandwidth
- Enhanced data security and privacy for users.
- Reduction of energy consumption
- Reduced amount of data that needs to be processed in a centralized or cloud-based location.
- Enables Internet of Things as it has scalability, low latency, longer battery life for devices, efficient data management.
- 5G networks are expected to be 1000 times faster than 4G networks. Edge computing was developed due to the exponential growth of IoT devices, which connect to the internet for either receiving information from the cloud or delivering data back to the cloud. And many IoT devices generate enormous amounts of data during their operations.
How is Edge Computing Different From Cloud Computing?
The basic difference between edge computing and cloud computing lies in where the data processing takes place.
The existing Internet of Things (IoT) systems perform all their computations in the cloud using data centres.
Edge computing, on the other hand, essentially manages the massive amounts of data generated by IoT devices by storing and processing data locally.
