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
IoT-Inspired Smart Toilet System for Home-Based Urine Infection Prediction
TL;DR: In this paper, a framework for an IoT-based smart toilet system, which enables home-based determination of Urinary Infection (UI) efficaciously, is presented, which comprises a four-layered architecture for monitoring and predicting infection in urine.
Journal ArticleDOI
Elucidating the challenges for the praxis of fog computing: An aspect‐based study
TL;DR: A compendious review of the research approaches in the domain, with special emphasis on the approaches for orchestration and a multilevel taxonomy to classify the existing research is provided.
Journal ArticleDOI
A Review of Quality of Service in Fog Computing for the Internet of Things
TL;DR: This study begins by examining the roots of history, characteristics, and advantages of fog computing, and discusses the important elements of QoS parameters, and open problems that still affect fog computing are identified and discussed in order to achieve enhanced QoS.
Journal ArticleDOI
Spatio-Fog: A green and timeliness-oriented fog computing model for geospatial query resolution
TL;DR: A fog computing framework namely Spatio-Fog is proposed, where the fog devices contain the geospatial data of their current region and processGeospatial queries using resources in the proximity and reduces the power consumption and delay by 30–60% approximately than the existing geosp spatial query resolution system.
Journal ArticleDOI
Machine Learning-based Mist Computing Enabled Internet of Battlefield Things
Huniya Shahid,Munam Ali Shah,Ahmad Almogren,Hasan Ali Khattak,Ikram Ud Din,Neeraj Kumar,Carsten Maple +6 more
TL;DR: In this article, a mist-based version of the Internet of Battlefield Things (IoBT) framework is proposed to improve the overall decision-making process in a military campaign or battle.
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.