Essentially, all models are wrong, but some are useful. Collaboration Model of Fog and Cloud


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Proximity refers to how “close” things are from cloud/fog nodes, service type, stor­age and/or computational facilities. Continuous transfer of large volumes of data could be time consuming and require a certain level of bandwidth. Thus, if things are in fixed location, interactions with fog/cloud nodes in terms of duration and band­width could be estimated/predicted. However, this does not apply to mobile things since network coverage varies and is dependent on many physical factors. The proxim­ity criterion is appropriate when considering data transmission, such as Thing ^ Cloud and Thing ^ Fog.

  • Frequency criterion refers to the rate of data transfer from things to fog/cloud nodes. The frequency could be regular with fixed frequency (e.g., every 2 hours) or continuous with different frequency (e.g., every time patient’s blood pressure drops). Frequency may be set according to the proximity criterion.

  • Sensitivity criterion refers to the nature of data exchanged between things and fog/cloud nodes. Highly-sensitive data should not be exposed longer than is required on the networks and during the data processing among all things, fog and cloud nodes.


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