What is edge?

Edge Computing

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. Instead of sending data to a centralized data center or cloud, processing is done on or near the edge of the network, close to the source of the data.

Key Concepts:

  • <a href="https://www.wikiwhat.page/kavramlar/Decentralization">Decentralization</a>: Shifting processing away from central servers.
  • <a href="https://www.wikiwhat.page/kavramlar/Latency">Latency</a> Reduction: Minimizing the delay in data processing and response.
  • <a href="https://www.wikiwhat.page/kavramlar/Bandwidth%20Optimization">Bandwidth Optimization</a>: Reducing the amount of data transmitted over the network.
  • <a href="https://www.wikiwhat.page/kavramlar/Real-time%20Processing">Real-time Processing</a>: Enabling immediate data analysis and action.
  • <a href="https://www.wikiwhat.page/kavramlar/IoT%20(Internet%20of%20Things)">IoT (Internet of Things)</a> Integration: Facilitating data processing from IoT devices.

Benefits:

  • Improved application performance due to lower latency.
  • Reduced bandwidth costs by processing data locally.
  • Enhanced privacy and security by keeping sensitive data on-premise.
  • Increased reliability and resilience through distributed processing.
  • Support for disconnected or intermittent network environments.

Applications:

  • Autonomous vehicles
  • Smart manufacturing
  • Smart cities
  • Healthcare monitoring
  • Retail analytics