5 Points About Edge Computing 

Written By

Ritik Tiwari

Edge computing is a paradigm in the field of computing that involves processing data closer to the source of data generation rather than relying solely on centralized cloud servers.

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Proximity to Data

Edge computing processes data closer to its source, reducing the distance between data generation and processing, and minimizing latency.

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Low Latency, High Performance

By processing data at the edge, edge computing ensures faster response times, making it ideal for real-time applications like IoT, autonomous vehicles, and augmented reality.

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Scalability and Bandwidth Efficiency

Edge computing allows for the efficient use of resources by distributing computing power across a network of edge devices, reducing strain on centralized servers and optimizing bandwidth usage.

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Enhanced Security and Privacy

Processing sensitive data locally at the edge device improves security and privacy by minimizing the need to transmit critical information to centralized cloud servers.

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Optimized for IoT

 Edge computing is well-suited for the Internet of Things (IoT), where devices generate large amounts of data. It enables local processing and filtering of data, sending only relevant information to centralized servers, improving overall efficiency.

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