Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing

By M. Yannuzzi, R. Milito, R. Serral-Gracià, D. Montero, M. Nemirovsky. IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2014

315 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/0ba2b6536880c3857370612adfb864bf9716ee98

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Citations in the corpus

Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm (2017, background): “In [10], authors suggest that Fog computing is one of the key ingredients and enablers in the IoT ecosystem.”
Fog Computing for Sustainable Smart Cities (2017, methodology): “Fog computing generally goes hand-in-hand with cloud computing [Yannuzzi et al. 2014].”
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, background): “The authors of Reference [160] claim that fog computing is expected to be a natural platform for many promising and challenging IoT scenarios.”
Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, unknown): “[44] and Preden et al.”
Mobile Edge Computing: A Survey on Architecture and Computation Offloading (2017, background): “tions and scenarios such as smart grids, connected vehicles for Intelligent Transport Systems (ITS) or wireless sensor networks [17]–[20].”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “Many other papers discuss the Fog Computing characteristics, its application domains, and the related research challenges as [39, 135, 152].”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, methodology): “Indeed, we have shown that fog-enabled orchestrators such as the ones proposed in [5] and [16] are not appropriate because of the centralized approach they adopt.”
Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching (2017, background): “[28] considered the requirements of mobility, scalability, reliable control, and actuation in some challenging scenarios of IoT to show the benefits”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, unknown): “Foundations Surveys [8, 9, 13, 43, 67, 71, 78–86, 97–105]”
Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog (2019, background): “The great number of IoT devices requiring computation and storage services is distributed in vast geographical areas [37].”
Review of Internet of Things (IoT) in Electric Power and Energy Systems (2018, background): “the network edge, as well as applications requiring complex analysis and long-term data storage in the cloud [141], [144], [145].”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “[25] integrated fog computing and cloud computing by considering mobility, reliability control and actuation, and scalability to demonstrate that fog computing can be used as the underlying platform for IoT applications.”
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “Recent work suggests the adoption of a hybrid fog/cloud solution in order to support latency-sensitive IoT services [45, 46].”
Internet of Things: Architectures, Protocols, and Applications (2017, background): “But this will not be sufficient to meet the requirements of many IoT applications because of the following reasons [43].”