The Edge of Things: IoT and Edge Computing in Software

Edge computing can improve performance by reducing latency and providing real-time insights. This is because data does not have to travel as far to be processed, and decisions can be made more quickly.

**Reduced latency**

Latency is the time it takes for data to travel from one point to another. In a traditional computing environment, data is sent from the edge of the network to a central location for processing. This can add significant latency, especially for applications that require real-time data.

Edge computing reduces latency by processing data closer to the source. This means that data does not have to travel as far to be processed, which results in faster response times. For example, a self-driving car that uses edge computing can make decisions more quickly than a car that relies on data from a central location.

**Real-time insights**

Edge computing can also provide real-time insights into data. This is because data does not have to be sent to a central location for processing, which can delay the delivery of insights. For example, a retail store that uses edge computing can track customer behavior in real time and make adjustments to its marketing campaigns accordingly.

Edge computing can improve performance by reducing latency and providing real-time insights. This makes it a valuable tool for applications that require fast response times and real-time data.