EDGE COMPUTING

 

Edge Computing is a technology approach where data is processed near the source (like sensors, devices, or local servers) instead of sending it far away to a central cloud or data center.

. Device Edge (On-Device Computing)

Processing happens directly on the device itself.
Examples:

• Smartphones
• Smartwatches
• IoT sensors
• Drones
• Self-driving car computers

Use: Real-time decision making (like object detection).

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✅ 2. Sensor Edge

Computation happens on low-power sensor nodes.
Examples:

• Temperature sensors
• Motion sensors
• Industrial IoT nodes

Use: Fast response without sending data to cloud.

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✅ 3. Network Edge (Telco Edge / 5G Edge)

Processing done near telecom towers or internet exchange points.
Examples:

• 5G towers
• Base stations
• Network routers/switches

Use: Ultra-low latency applications like AR/VR, online gaming.

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✅ 4. On-Premises Edge (Local Edge Server)

Computation happens on local servers inside a building or factory.
Examples:

• Local data centers
• Factory edge servers
• Hospital edge devices

Use: Industry automation, security systems, local analytics.

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✅ 5. Cloud Edge (Cloud-Based Edge Locations)

Cloud companies (AWS, Google, Azure) place mini-data centers close to users.
Examples:

• AWS Outposts
• Azure Stack
• Google Anthos

Use: Faster cloud services with low latency.

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✅ 6. Fog Computing

A layer between cloud and edge devices that distributes processing.
Examples:

• Smart city networks
• Large IoT systems

Use: Multi-layer real-time data processing.

                                                                                                                     RAJANI BALAA