Edge Computing

Edge computing is a distributed computing paradigm that brings data processing, storage, and network communication closer to where data is generated, instead of relying on centralized cloud computing infrastructure. In edge computing, data processing and storage take place on devices known as "edge devices" or "edge servers" rather than on a centralized cloud server, enabling faster response times and reduced latency.

The purpose of edge computing is to handle data closer to the point of creation, whether that be an IoT device, a mobile phone, or any other connected devices. The main benefits of edge computing are reduced latency, improved efficiency, increased privacy, and reduced transmission cost. This makes it an ideal choice for applications that require real-time response such as autonomous vehicles, industrial manufacturing, and remote health monitoring systems.

Edge computing acts as a complementary technology to cloud computing, where some processing or computation is done on the edge device itself while the rest is sent to remote servers for further processing. By processing data closer to the point of creation, edge computing provides faster and more reliable data processing, enabling the deployment of real-time, always-on applications.

In summary, edge computing is a powerful distributed computing paradigm that brings compute, storage, and networking resources closer to where data is generated. This enables faster response times and reduced latency, making it an essential technology for emerging applications and use cases such as autonomous vehicles, smart factories, and real-time remote monitoring.

Thus, edge computing is reshaping IT and business computing.

Edge computing examples?

Edge computing can enable more effective city traffic management. Examples of this include optimizing bus frequency given fluctuations in demand, managing the opening and closing of extra lanes, and, in future, managing autonomous car flows.