TY - JOUR
T1 - The Internet of Things, Fog and Cloud continuum.
T2 - Integration and Challenges
AU - Bittencourt, Luiz F.
AU - Immich, Roger
AU - Sakellariou, Rizos
AU - Fonseca, Nelson L. S. da
AU - Madeira, Edmundo R. M.
AU - Curado, Marilia
AU - Villas, Leandro
AU - Silva, Luiz da
AU - Lee, Craig
AU - Rana, Omer
N1 - Preprint version - to be published in Elsevier's Internet of Things journal
PY - 2018/10
Y1 - 2018/10
N2 - The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has been an established and effective way of acquiring computation and storage as a service to many applications, it may not be suitable to handle the myriad of data from IoT devices and fulfill largely heterogeneous application requirements. Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices. Combining fog and cloud may reduce data transfers and communication bottlenecks to the cloud and also contribute to reduced latencies, as fog computing resources exist closer to the edge. This paper examines this IoT-Fog-Cloud ecosystem and provides a literature review from different facets of it: how it can be organized, how management is being addressed, and how applications can benefit from it. Lastly, we present challenging issues yet to be addressed in IoT-Fog-Cloud infrastructures.
AB - The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has been an established and effective way of acquiring computation and storage as a service to many applications, it may not be suitable to handle the myriad of data from IoT devices and fulfill largely heterogeneous application requirements. Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices. Combining fog and cloud may reduce data transfers and communication bottlenecks to the cloud and also contribute to reduced latencies, as fog computing resources exist closer to the edge. This paper examines this IoT-Fog-Cloud ecosystem and provides a literature review from different facets of it: how it can be organized, how management is being addressed, and how applications can benefit from it. Lastly, we present challenging issues yet to be addressed in IoT-Fog-Cloud infrastructures.
KW - cs.DC
UR - https://arxiv.org/abs/1809.09972
U2 - 10.1016/j.iot.2018.09.005
DO - 10.1016/j.iot.2018.09.005
M3 - Article
SN - 2542-6605
JO - Internet of Things
JF - Internet of Things
ER -