Journal ArticleDOI
Fog Computing: Helping the Internet of Things Realize Its Potential
TLDR
Fog computing is designed to overcome limitations in traditional systems, the cloud, and even edge computing to handle the growing amount of data that is generated by the Internet of Things.Abstract:
The Internet of Things (IoT) could enable innovations that enhance the quality of life, but it generates unprecedented amounts of data that are difficult for traditional systems, the cloud, and even edge computing to handle. Fog computing is designed to overcome these limitations.read more
Citations
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Journal ArticleDOI
Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments
TL;DR: This study developed an extended particle swarm optimization (EPSO) algorithm with an extra gradient method to optimize the task scheduling problem in cloud‐fog environments and demonstrated that the performance of the proposed method is comparable to that of other approaches.
Journal ArticleDOI
Docker-Based Intelligent Fall Detection Using Edge-Fog Cloud Infrastructure
V. Divya,R. Leena Sri +1 more
TL;DR: In this paper, a three-layer architecture (Edge-Fog-Cloud) is proposed to ensure fall detection using a three layer architecture, which takes advantage of the available smart devices.
Book ChapterDOI
Fog Computing Realization for Big Data Analytics
TL;DR: In this paper, the authors provide background on big data analytics and describe how fog engine can be deployed in the traditional centralized data analytics platform and how it enhances existing system capabilities, providing on-premise data analytics as well as the capabilities for Internet of Things (IoT) devices to communicate with each other and with the cloud.
Proceedings ArticleDOI
Dependable Fog Computing: A Systematic Literature Review
TL;DR: The state of the art concerning dependability and fog computing is surveyed by means of a systematic literature review, showing the growing interest in the topic but the relative immaturity of the technology, without any leading research group.
Journal ArticleDOI
Implementation of Fog computing in IoT-based healthcare system
TL;DR: The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented.
References
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Journal ArticleDOI
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
TL;DR: In this paper, the authors propose a simulator, called iFogSim, to model IoT and fog environments and measure the impact of resource management techniques in latency, network congestion, energy consumption, and cost.
Book ChapterDOI
Fog Computing: A Platform for Internet of Things and Analytics
TL;DR: This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
Journal ArticleDOI
The Promise of Edge Computing
Weisong Shi,Schahram Dustdar +1 more
TL;DR: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud.
Proceedings ArticleDOI
The Fog computing paradigm: Scenarios and security issues
Ivan Stojmenovic,Sheng Wen +1 more
TL;DR: The motivation and advantages of Fog computing are elaborated, and its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks are analysed.
Proceedings ArticleDOI
Towards wearable cognitive assistance
TL;DR: The architecture and prototype implementation of an assistive system based on Google Glass devices for users in cognitive decline that combines the first-person image capture and sensing capabilities of Glass with remote processing to perform real-time scene interpretation is described.