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
IoT-Based Urban Traffic-Light Control: Modelling, Prototyping and Evaluation of MQTT Protocol
TL;DR: A new architecture of Urban Traffic Light Control based on an IoT network (IoT-UTLC) is proposed, to interconnect both roads' infrastructures and traffic lights through an IoT platform.
Book ChapterDOI
Proposed Framework for Fog Computing to Improve Quality-of-Service in IoT Applications
TL;DR: In this article, the authors proposed a framework that aims to improve QoS (Quality-of-Service) by providing reduced latency and load balancing at fog layer, which is achieved with help of data aggregation and load-balancing.
Proceedings ArticleDOI
LEAF: Simulating Large Energy-Aware Fog Computing Environments
Philipp Wiesner,Lauritz Thamsen +1 more
TL;DR: In this article, the authors developed a holistic but granular energy consumption model that can determine the power usage of compute nodes as well as network traffic and applications over time by combining analytical and discrete-event modeling.
Journal ArticleDOI
A queuing theory model for fog computing
TL;DR: In this article , a fog-computing modelling framework based on queuing theory is presented to simulate a given scenario allowing the possibility of adjusting the system by means of user-defined parameters.
Proceedings Article
Smart healthcare
TL;DR: The Internet-of-Things era promises hundreds of billions of devices or physical objects connected to the Internet, including sensors, actuators, and processing elements that help us gather data, make intelligent decisions, and optimize processes.
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.