Edge computing brings data processing closer to the source, enabling faster and more efficient real-time operations

Definition: Edge computing processes data close to its source instead of relying on a central data center, reducing latency and bandwidth use

How It Works: Devices or local servers handle computations, enabling quicker responses and offline capabilities

Key Benefit: Faster data processing for real-time applications like IoT and autonomous vehicles

Examples: Smart home devices, wearable health monitors, and factory sensors use edge computing

Reduced Costs: Minimizes data transmission to the cloud, saving bandwidth and reducing costs

Improved Security: Sensitive data stays closer to its source, lowering exposure to cyber threats

Applications in IoT: Critical for smart cities, industrial automation, and connected vehicles

Decentralization: Edge computing complements centralized cloud systems by decentralizing data processing

Scalability: Supports the growing demand for devices needing fast, localized computation

Future Trends: Edge computing will grow alongside 5G and AI technologies, enabling seamless real-time interactions