2019
DOI: 10.1504/ijwgs.2019.099562
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Efficient resource allocation for consumers' power requests in cloud-fog-based system

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Cited by 10 publications
(8 citation statements)
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“…This layer includes all those elements that have the characteristic of concentrating the data received from the IoT devices and preparing them to send to the cloud such as sensor hubs, data concentrators, local processing systems, remote terminal units, routers, gateways, and others listed in Table 5. Fog computing provides flexibility, data privacy, interoperability, and real-time energy management [60] through the storage and computing close to the end devices by performing light computing tasks that can happen at the edge by decreasing latency [27,46], and, thereby, decreasing the load on the cloud [5,98]. In practice, these devices receive and, with the aid of algorithms, make the initial filter of the data generated by the sensors and IoT devices by performing the first computational tasks of data aggregation and preparing them to be sent through the network to the cloud.…”
Section: Fogmentioning
confidence: 99%
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“…This layer includes all those elements that have the characteristic of concentrating the data received from the IoT devices and preparing them to send to the cloud such as sensor hubs, data concentrators, local processing systems, remote terminal units, routers, gateways, and others listed in Table 5. Fog computing provides flexibility, data privacy, interoperability, and real-time energy management [60] through the storage and computing close to the end devices by performing light computing tasks that can happen at the edge by decreasing latency [27,46], and, thereby, decreasing the load on the cloud [5,98]. In practice, these devices receive and, with the aid of algorithms, make the initial filter of the data generated by the sensors and IoT devices by performing the first computational tasks of data aggregation and preparing them to be sent through the network to the cloud.…”
Section: Fogmentioning
confidence: 99%
“…In practice, these devices receive and, with the aid of algorithms, make the initial filter of the data generated by the sensors and IoT devices by performing the first computational tasks of data aggregation and preparing them to be sent through the network to the cloud. Thus, fog servers are closer to the data collection points, which is an interface layer between physical devices and distant cloud data centers [27,98].…”
Section: Fogmentioning
confidence: 99%
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