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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Book ChapterDOI
Fog Resource Allocation Through Machine Learning Algorithm
A. S. Gowri,P. Shanthi Bala +1 more
TL;DR: This chapter presents the federation of Fog-Cloud and the way it relates to the IoT requirements, and deals with autonomic resource management with reinforcement learning (RL), which will forward the fog computing paradigm to the future generation expectations.
Proceedings ArticleDOI
Leveraging civilian IoT infrastructures to support warfighting activities in urban environments
TL;DR: The paper demonstrates how the possibilities brought by the integration of SPF with the Open Data services offered by the city of Helsinki can significantly help the work of the emergency team, in particular with regards to the quick detection of clear and congested roads for relief organization and coordination.
Proceedings ArticleDOI
Enhancement of QoS for fog computing model aspect of robust resource management
TL;DR: A refinement of resource management technique is proposed for efficient management of resources which considers execution time in the new era of Internet of Everything.
Big Data Analytics with Fog Computing in integrated Cloud Fog and IoT Architecture for Smart Devices
TL;DR: This paper has explored how Fog Computing enhances Big Data Analytics capabilities in Cloud - IoT architecture for smart devices of IoT environment and overall performance will be enhanced.
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.