Edge computing, which processes data closer to the source rather than relying on centralized cloud servers, is becoming essential for real-time applications.
Key Applications
1. Autonomous Vehicles: Enables instant decision-making by processing data locally.
2. Smart Cities: Sensors and devices use edge computing for efficient traffic management and energy use.
3. Healthcare: Medical devices process data on-site for faster diagnostics.
Challenges
Maintaining security across decentralized systems.
Higher initial costs compared to traditional cloud solutions.
Conclusion
Edge computing is redefining how we interact with technology, prioritizing speed and efficiency for real-world applications.
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