Fog Computing: Principles, Architectures, and Applications

By Amir Vahid Dastjerdi, Harshit Gupta, Rodrigo Neves Calheiros, Soumya Kanti Ghosh, Rajkumar Buyya. arXiv.org, 2016

478 citations recorded by the source corpus.

Abstract The Internet of Everything (IoE) solutions gradually bring every object online, and processing data in a centralized cloud does not scale to requirements of such an environment. This is because there are applications such as health monitoring and emergency response that require low latency, so delay caused by transferring data to the cloud and then back to the application can seriously impact the performance. To this end, Fog computing has emerged, where cloud computing is extended to the edge of the network to decrease the latency and network congestion. Fog computing is a paradigm for managing a highly distributed and possibly virtualized environment that provides compute and network services between sensors and cloud data centers. This chapter provides a background and motivations regarding the emergence of Fog computing, and defines its key characteristics. In addition, a reference architecture for Fog computing is presented, and recent related development and applications are discussed.

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

View Paper: https://www.semanticscholar.org/paper/175c1fba67f6df9f437661a8f02cd20733e05914

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Citations in the corpus

Mobile Edge Computing: A Survey (2018, methodology): “One example of AR applications is brain computer interaction that works by detecting human brainwaves [38].”
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, methodology): “Many works have been done to quantify the layer-based concept of Fog architecture [4], [27], [54]–[58].”
Fog Computing and the Internet of Things: A Review (2018, background): “For example, Dastjerdi et al. [35] presented a reference architecture model for fog computing.”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “Fog Computing [8] extends Cloud Computing and services to the edge of the network, bringing processing, analysis, and storage closer to where requests are created and used.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “[19] demonstrated the application of fog computing in healthcare, highly latency intolerant augmented reality domain and its use for improving website performance by caching and pre-processing.”
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (2018, background): “provides intelligent services that meet key requirements of intelligent manufacturing for agile connection, real-time processing, data cleaning, and privacy protection [73], [74].”
Resource Management in Fog/Edge Computing (2018, background): “Placement algorithms address this issue and need to consider the availability of resources in the fog/edge layer and the environmental changes [43].”