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Letter E
Edge Computing

Edge computing refers to the practice of processing data near the edge of the network, where data is generated, instead of relying on a centralized data processing warehouse or cloud service. It aims to reduce latency and bandwidth usage while improving response times and privacy.

Use Cases

Internet of Things (IoT)

Analyzing sensor data locally to respond quickly to real-time events.

Autonomous Vehicles

Processing data on board to make immediate driving decisions without relying solely on cloud services.

Augmented Reality

Rendering complex graphics locally to reduce latency and improve user experience.

Importance

Latency Reduction

Enhances performance by minimizing delays in data processing.

Bandwidth Efficiency

Reduces the strain on network bandwidth by processing data locally.

Privacy and Security

Protects sensitive data by keeping it closer to its source and reducing exposure to external threats.

Analogies

Edge computing is like having a personal assistant who handles tasks directly at your doorstep rather than sending them to a distant office. This reduces the time and resources required to complete tasks while maintaining privacy and security.

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