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
ISA for the internet of tactical things
TL;DR: The Internet of Things integrates a variety of different devices that provide more information than can currently be easily handled but not all of the potential solutions can be used in the unique environment of the military.
Journal ArticleDOI
Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles
TL;DR: In this article, the authors provide a comprehensive survey on different architectural design alternatives based on cloud/edge/fog computing for Connected Vehicles (CVs), including advantages, disadvantages, and research challenges.
Journal ArticleDOI
Assessing the Potential Energy Savings of a Fluidified Infrastructure
TL;DR: In this paper , the benefits of the distribution of a fluid workload across heterogeneous devices focusing on the power consumption of the computing continuum is evaluated and a suitable methodology to transform current desktop applications into proof-of-concept fluid software is proposed.
Posted ContentDOI
Fog Computing Application of Cyber-Physical Models of IoT Devices with Symbolic Approximation Algorithms
TL;DR: This research set up a three-blade fan as IoT device used in manufacturing system with an accelerometer installed and analyzed the sensor data through cyber-physical models based on machine learning and streaming data analytics at Fog computing, resulting in about 98% accuracy at a 95% confidence level with correctly classifying the current state of the fan.
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.