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Edge computing vs cloud computing for IoT

Last updated on 3 days ago
K
KevinSenior Member
Posted 3 days ago
Reply by: NetworkEngineer_ISP
Also think about bandwidth constraints. If you have 1000 cameras sending video to cloud, you need massive internet bandwidth. Processing video at edge and only sending alerts or metadata to cloud makes much more sense. Edge computing is not replacement for cloud, its complement. Right architecture uses both - edge for preprocessing and time-sensitive decisions, cloud for long term storage and complex analytics.
K
KevinSenior Member
Posted 3 days ago
Reply by: IoTarchitect_Industrial
Main benefits of edge computing: 1) Lower latency - critical for real-time applications like autonomous vehicles, industrial automation 2) Reduced bandwidth costs - no need to send all raw data to cloud 3) Better privacy - sensitive data stays on premises 4) Works even when internet connection is lost 5) Reduced cloud computing costs. We use hybrid approach - quick decisions at edge, detailed analysis in cloud.
K
KevinSenior Member
Posted 3 days ago
User: EdgeComputing_Curious
Subject: Edge computing vs cloud computing for IoT
Confused about edge computing concept. Why process data on edge devices when we can send everything to cloud which has more computing power? What are actual benefits of edge computing in IoT scenarios?
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