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. 2024 Jul 10;16(7):e64263. doi: 10.7759/cureus.64263

Table 1. Comparison of cloud computing and fog computing in healthcare.

Feature Cloud computing Fog computing
Data processing location Centralized in remote data centers Decentralized, at or near the source of data
Latency Higher due to longer distance data travels Lower, as data are processed closer to their origin
Bandwidth usage Higher, as large amounts of data are transmitted to and from the cloud Lower, due to local data processing and reduced data transmission
Real-time capability Limited by network latency Enhanced, suitable for time-sensitive applications such as emergency response and critical care monitoring
Security risks Higher, due to extensive data transmission and centralized storage Reduced, with data processed and often stored locally, minimizing exposure to cyber threats
Interoperability Dependent on internet and cloud services' protocols Requires local interoperability standards but is less dependent on external networks
Scalability Easily scalable with cloud resources Scalability depends on local infrastructure capabilities
Cost Potentially lower upfront, with ongoing operational expenses Higher upfront costs for local infrastructure, potentially lower operational costs