Relationship between Edge Computing and Cloud Computing in which we will firstly learn about Edge computing after then we will look check out the cloud computing. Edge computing allows data to be examined, processed, and transported at the network’s edge rather than being sent to a central data center (CLOUD) directly. Edge: Where things or people produce or consume that information, such as the device itself or a local computer or server. Edge computing is a networking philosophy focused on bringing computing as near to the source of data as possible in order to reduce latency and bandwidth usage.
Why the Edge Computing is Developed?
- The physical architecture of an edge can be complex, but the basic idea is that client devices
- connect to a nearby Edge module for faster processing and smoother operations. Edge
- devices can include IoT sensors, employee notebook PCs, the most recent smartphone
- security cameras, or even an Internet-connected microwave oven in the office break room.
- To analyze data locally, closer to where it is stored, in real time and without latency, rather
- than sending it far away to a centralized data center.
- Many IoT devices generate massive amounts of data during the course of their operations.
- An edge device is an industrial setting that may include autonomous mobile robots, such as
- robotic arms in an automobile factory. In healthcare, it might be a cutting-edge surgical
- technique that enables surgeons to do surgery from remote locations using an edge
- computer infrastructure. Edge gateways are classified as devices since their terminology
- varies; the modules may be referred to as ad servers or hktvs.
Differentiate between Edge computing and Cloud Computing:
- The primary distinction between edge computing and cloud computing is the location of
- data processing, which is the edge versus the cloud.
- Edge computing has a lower storage capacity than cloud computing.
- Cloud computing has more processing capacity and speed than edge computing.
- Edge computing has less latency than cloud computing, where latency means the ability to
- process very high volumes of data with minimum delay.