Fog Computing: A Platform for Internet of Things and Analytics

By Flavio Bonomi, R. Milito, P. Natarajan, Jiang Zhu. Big Data and Internet of Things, 2014

1,178 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/29b5bf27ac523a36f9c39260c0a3728542b7a850

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Internet of Things: An Overview (2017, background): “Processing and storage capability of these devices can be utilized to extend the advantages of using cloud computing by creating another cloud, known as Edge Cloud, near application consumers in order to: decrease networking delays, save processing or storage cost, perform data aggregation, and avoi”
Edge Computing for the Internet of Things: A Case Study (2018, background): “Finally, edge computing platforms support mobility of devices and geographically distributed applications [3].”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “Fog computing refers to a set of techniques that permit deploying applications or data storage at the edge of networks [132], e.”
Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing (2014, background): “Thus, the most natural and promising way to deal with these challenges is Fog Computing [1], [2].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “4) Scalability: The number of end user devices is expected to reach to trillions in a few years and this evolution creates a significant scalability problem [63].”
Internet of Things: Architectures, Protocols, and Applications (2017, methodology): “Some applications of fog computing are as follows [10, 11]:”
Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities (2017, background): “The big data in smart cities exhibits a new characteristic: geodistribution [36].”
Fog Computing May Help to Save Energy in Cloud Computing (2016, background): “F OG computing [1] is a new paradigm refers to a platform for local computing, distribution and storage in end-user devices rather than centralized data centers (DCs) [1].”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “The advent of IoT has resulted in an increasing number of use cases that generate significant volume of data, compounding the challenges of dealing with big data from a number of geographically distributed data sources [12].”
Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection (2020, background): “, fog computing [69], edge clouds [70]), with the aim of improving the performance of applications with low-latency and high-bandwidth requirements.”
Internet of things and supply chain management: a literature review (2019, background): “Cloud-computing services represent an ef ﬁ cient alternative to own and manage data centres (Bonomi et al. 2014).”
Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing (2015, background): “The (cid:12)rst related area of research is fog computing [26, 6, 24, 7].”
Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction (2015, background): “ton of data from numerous sensors and transmitting the data over networks stand in need of very high bandwidth [12].”
Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges (2016, background): “work infrastructure is heterogeneous, where highspeed links and wireless access technologies will coexist [26].”
QoS-Aware Deployment of IoT Applications Through the Fog (2017, methodology): “expected to be able to remotely access Things at neighboring nodes, through APIs offered by the Fog middleware layer [5].”