Your Name
Date / Institution
Introduction
• What is Edge Computing?
• Importance in modern technology
• Why this topic matters
Objectives of the Presentation
• Define edge computing
• Understand how it reduces latency
• Explore performance benefits
• Real-world applications
• Challenges and future trends
What is Edge Computing?
• Data processing at the edge of the network
• Opposite of centralized cloud computing
• Devices like routers, gateways, IoT nodes
Latency in Cloud vs. Edge
• Cloud = High latency (data travels far)
• Edge = Low latency (data processed locally)
• Faster response time for real-time apps
Enhancing Performance
• Local data processing = faster decisions
• Less bandwidth used
• Improves reliability and scalability
Real-World Applications
• Smart cities & traffic systems
• Healthcare monitoring devices
• Industrial automation
• AR/VR and gaming
Challenges in Edge Computing
• Security at many endpoints
• Hardware limitations
• Complex deployment and maintenance
Future Trends
• AI at the edge
• 5G and edge synergy
• Edge-Cloud hybrid models
Conclusion
• Edge computing boosts speed & efficiency
• Crucial for time-sensitive apps
• Continues to evolve with tech

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  • 1.
    Your Name Date /Institution
  • 2.
    Introduction • What isEdge Computing? • Importance in modern technology • Why this topic matters
  • 3.
    Objectives of thePresentation • Define edge computing • Understand how it reduces latency • Explore performance benefits • Real-world applications • Challenges and future trends
  • 4.
    What is EdgeComputing? • Data processing at the edge of the network • Opposite of centralized cloud computing • Devices like routers, gateways, IoT nodes
  • 5.
    Latency in Cloudvs. Edge • Cloud = High latency (data travels far) • Edge = Low latency (data processed locally) • Faster response time for real-time apps
  • 6.
    Enhancing Performance • Localdata processing = faster decisions • Less bandwidth used • Improves reliability and scalability
  • 7.
    Real-World Applications • Smartcities & traffic systems • Healthcare monitoring devices • Industrial automation • AR/VR and gaming
  • 8.
    Challenges in EdgeComputing • Security at many endpoints • Hardware limitations • Complex deployment and maintenance
  • 9.
    Future Trends • AIat the edge • 5G and edge synergy • Edge-Cloud hybrid models
  • 10.
    Conclusion • Edge computingboosts speed & efficiency • Crucial for time-sensitive apps • Continues to evolve with tech