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1. Your Name
Date / Institution

2. Introduction
• What is Edge Computing?
• Importance in modern technology
• Why this topic matters

3. Objectives of the Presentation
• Define edge computing
• Understand how it reduces latency
• Explore performance benefits
• Real-world applications
• Challenges and future trends

4. What is Edge Computing?
• Data processing at the edge of the network
• Opposite of centralized cloud computing
• Devices like routers, gateways, IoT nodes

5. Latency in Cloud vs. Edge
• Cloud = High latency (data travels far)
• Edge = Low latency (data processed locally)
• Faster response time for real-time apps

6. Enhancing Performance
• Local data processing = faster decisions
• Less bandwidth used
• Improves reliability and scalability

7. Real-World Applications
• Smart cities & traffic systems
• Healthcare monitoring devices
• Industrial automation
• AR/VR and gaming

8. Challenges in Edge Computing
• Security at many endpoints
• Hardware limitations
• Complex deployment and maintenance

9. Future Trends
• AI at the edge
• 5G and edge synergy
• Edge-Cloud hybrid models

10. Conclusion
• Edge computing boosts speed & efficiency
• Crucial for time-sensitive apps
• Continues to evolve with tech