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Journal ArticleDOI

Fog Computing: Helping the Internet of Things Realize Its Potential

Amir Vahid Dastjerdi, +1 more
- 01 Aug 2016 - 
- Vol. 49, Iss: 8, pp 112-116
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.

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Citations
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Journal ArticleDOI

Topology Control in Fog Computing Enabled IoT Networks for Smart Cities

TL;DR: This paper proposes a complete set of Topology Control techniques for constructing and managing a large-scale smart city IoT network, and proposes efficient algorithms in each of the phases to realize the objectives.
Journal ArticleDOI

Addressing the Future Data Management Challenges in IoT: A Proposed Framework

TL;DR: A data management framework to securely manage the huge amount of data that is being generated by IoT enabled devices is proposed and incorporates layers such as data collection layer, fog computing layer, integrity management layer, security layer, data aggregationlayer, data analysis layer,Data storage layer, application layer and archiving layer.
Book ChapterDOI

Introduction to the Internet of Things

TL;DR: This chapter presents a four‐layer “Internet of Things” framework that covers not only technical but also nontechnical issues of IoT, including potential for product, process, and business model innovation; and implications and challenges.
Journal ArticleDOI

Sustainable securing of Medical Cyber-Physical Systems for the healthcare of the future

TL;DR: The novel concept of Virtual Medical Device is proposed as a sustainable and efficient mechanism deployed in the network edge to ease and provide dynamism and low latency for achieving security in MCPS.
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

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

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.
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