2018
DOI: 10.1007/s11227-018-2274-0
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Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

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Cited by 61 publications
(21 citation statements)
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“…The results mainly focus on improving QoS elements, including the delay, data rate, and probability; however, scenarios with numerous and virtualized devices were not considered. Another approach in which a process for resource management of Fog virtualized networks with energy efficiency was suggested by Vinueza Naranjo et al [145]. The proposed structure operates at the Middleware layer to sustain active immediate clearing in interacting virtualized assets.…”
Section: Infrastructural Applicationsmentioning
confidence: 99%
“…The results mainly focus on improving QoS elements, including the delay, data rate, and probability; however, scenarios with numerous and virtualized devices were not considered. Another approach in which a process for resource management of Fog virtualized networks with energy efficiency was suggested by Vinueza Naranjo et al [145]. The proposed structure operates at the Middleware layer to sustain active immediate clearing in interacting virtualized assets.…”
Section: Infrastructural Applicationsmentioning
confidence: 99%
“…Naranjo et al [57] proposed a Container-based virtualized network architecture to support real-time IoT applications. Fog nodes are spatially distributed and possibly interconnected to serve local clusters by providing computing and networking resources.…”
Section: Horizontal Fog Architecturesmentioning
confidence: 99%
“…The network parameters, such as execution delay, packet error rate, handovers, and latency are also benchmarked to demonstrate the FogNetSIM++'s ability to simulate network functionality. Naranjo et al (2018) [62] present a study of a popular applications used in the Fog/IoT paradigm, followed by an architectural design for resource management using a container middleware layer. The proposed architecture allows dynamic scaling of compute and network resources to meet the demands of IoT and meet required QoS.…”
Section: Cloud Computingmentioning
confidence: 99%