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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Journal ArticleDOI
A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds
TL;DR: A comprehensive taxonomy of workload scheduling and resource provisioning in hybrid cloud environments is proposed to investigate and classify 146 related research articles and summarized the challenges which have not been addressed by these researches.
Proceedings ArticleDOI
Coordinating Computation at the Edge: a Decentralized, Self-Organizing, Spatial Approach
Roberto Casadei,Mirko Viroli +1 more
TL;DR: This paper delineates a decentralized, self-organizing, spatial approach that works by dynamically partitioning the system into areas, each one governed by an elected manager, and setting up downstream and upstream coordination flows from managers to peripheral nodes and vice versa.
Book ChapterDOI
Optimization Problems in Fog and Edge Computing
TL;DR: In this paper, a generic conceptual framework for optimization problems in fog computing, based on consistent, well-defined, and formalized notation for constraints and optimization objectives, is proposed, which can be seen as an extension of cloud computing towards the network edge, with the aim of providing lower latencies for latencycritical applications within end devices.
Journal ArticleDOI
Cognitive IoT platform for fog computing industrial applications
TL;DR: A detailed presentation of the functional architecture is provided highlighting the required distributed intelligence through the cognitive agent application as key enabler for the embedded intelligence in the cognitive IoT concept.
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.