Edge computing is a distributed computing paradigm that brings computation and data storage closer to the devices where it is being gathered, rather than relying on a central location. This can improve performance, reduce latency, and save bandwidth.
Edge computing is becoming increasingly important as the Internet of Things (IoT) grows. IoT devices generate a lot of data, and it can be inefficient to send all of that data to a central location for processing. Edge computing can help to process data locally, which can improve performance and reduce latency.
There are a number of benefits to using edge computing for IoT applications. These include:
- Improved performance
- Reduced latency
- Saved bandwidth
- Increased security
- Reduced costs
Edge computing is still a relatively new technology, but it is quickly gaining traction. As the IoT continues to grow, edge computing is likely to become even more important.
Here are some examples of how edge computing is being used for IoT applications:
- Industrial automation
- Smart cities
- Healthcare
- Transportation
- Retail
Edge computing is a powerful technology that can help to improve the performance, security, and scalability of IoT applications. As the IoT continues to grow, edge computing is likely to become even more important.
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