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Cloud Data Center
Data Caching,
Realtime Data Buffering, Optimization Machine to Machine
Edge Computing Platform Basic Analytics
Processing
Difference between Cloud Computing and Edge Computing
Some differences between Cloud Computing and Edge Computing are as follows:
Aspect Cloud Computing Edge Computing
Data Processing Data is processed in centralised data centers. Data is processed closer to the source, on local
devices.
Latency Higher latency due to distance to data centers. Lower latency since processing occurs locally.
Bandwidth Usage Requires more bandwidth to transfer data to Reduces bandwidth usage by processing
the cloud. locally.
Speed Slower response times, especially with poor Faster response times due to local processing.
connectivity.
Scalability Highly scalable with easy expansion in Limited scalability, depends on edge devices'
centralised centers. capacity.
Use Cases Suitable for large-scale data processing and Ideal for real-time applications, IoT and remote
storage. areas.
Emerging Trends 157

