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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Book ChapterDOI
Reinforcement Learning-Based Resource Allocation in Fog Networks
TL;DR: In this paper , an overview of RL applications to solve resource allocation-related problems in the fog computing environment is presented, and the open issues and challenges are explored and discussed for further study.
Journal ArticleDOI
A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network
Proceedings ArticleDOI
IoBCT: A Brain Computer Interface using EEG Signals for Controlling IoT Devices
TL;DR: In this paper , the authors present a novel brain-computer interface (BCI) framework called the Internet of Brain-Controlled Things (IoBCT) that enables an individual to interact or communicate with IoT devices directly and effectively.
Book ChapterDOI
Fog Computing: Fundamental Concepts and Recent Advances in Architectures and Technologies
TL;DR: Fog computing has been introduced and designed to support the specific needs of latency-critical applications in the Internet of Things (IoT) and cyber-physical systems (CPS) in which all data with massive volume and complex structure constantly generated by the end devices are impractical to send to faraway cloud data centers for computation and analysis as mentioned in this paper .
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.