Edge Cloud: Bringing Computing Close to the User: Difference between revisions
PrateekRai (talk | contribs) Created page with "=== Edge Cloud === Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications. == Key Benefits of Edge Cloud == = Low Latency & Faster response times = By processing data closer to users, ed..." |
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= Edge Cloud = | |||
Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications. | Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications. | ||
== Key Benefits of Edge Cloud == | == Key Benefits of Edge Cloud == | ||
= Low Latency & Faster response times = | === Low Latency & Faster response times === | ||
By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR. | By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR. | ||
For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud | For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud | ||
Revision as of 19:34, 27 February 2025
Edge Cloud
Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the edge of the network, reducing latency and improving performance for real-time applications.
Key Benefits of Edge Cloud
Low Latency & Faster response times
By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR. For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud