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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Proceedings ArticleDOI
Situational context in the programmable world
Javier Berrocal,Jose Garcia-Alonso,Jaime Galán-Jiménez,Juan Manuel Murillo,Niko Mäkitalo,Tommi Mikkonen,Carlos Canal +6 more
TL;DR: A new Situational Context concept is placed to the emerging Programmable World, and a reference architecture for developing WoT systems capable of identifying the needs of their users in a particular situation is defined, enabling developers to build systems whose behavior is more conscious of their context, and self-adaptive to the people using them.
OtherDOI
A Reliable and Efficient Fog‐Based Architecture for Autonomous Vehicular Networks
Shuja Mughal,Kamran Sattar Awaisi,Assad Abbas,Inayat ur Rehman,Muhammad Usman Shahid Khan,Mazhar Ali +5 more
TL;DR: In this article, the authors proposed a fog-based architecture to minimize the latency and bandwidth utilization in the VANETs, which is achieved by the combination of several different techniques including radar, GPS, computer vision, Internet of Things, cloud, and fog.
Proceedings ArticleDOI
Virtualization of set-top-box devices in next generation SDN-NFV networks: the input project perspective
Roberto Bruschi,Franco Davoli,Laura Galluccio,Paolo Lago,Alfio Lombardo,Chiara Lombardo,Corrado Rametta,Giovanni Schembra +7 more
TL;DR: The Virtual set-top box is presented from both architectural and functional points of view, demonstrating the feasibility of the softwarized SDN/NFV paradigm joined with the fog-computing approach to support personal cloud services.
Book ChapterDOI
Investigating IoT Application Behaviour in Simulated Fog Environments
Andras Markus,Attila Kertesz +1 more
TL;DR: In this article, the authors investigate current fog simulation approaches and compare two of them providing the broadest fog modeling features, and also perform evaluations of executing IoT applications in hybrid, fog-cloud architectures to show possible advantages of different setups matching different IoT behaviour.
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.