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
Docker Swarm and Kubernetes Containers for Smart Home Gateway
TL;DR: In this paper, the authors evaluate Docker Swarm and Kubernetes container solutions on resource constrained devices such as Raspberry Pi boards to evaluate creation time, CPU utilization, and memory usage.
Journal ArticleDOI
Opportunistic Mobile Sensing in the Fog
Rolando Menchaca-Mendez,Brayan Luna-Nuñez,Ricardo Menchaca-Mendez,Arturo Yee-Rendon,Rolando Quintero,Jesus Favela +5 more
TL;DR: A Semantic-Centric Fog-based framework aimed at effectively and efficiently supporting this type of applications and shows that the proposed framework outperforms traditional sensing platforms that are based on centralized services.
Journal ArticleDOI
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach
Journal ArticleDOI
Secure Edge-Aided Computations for Social Internet-of-Things Systems
TL;DR: In this paper , a secure edge-aided computation scheme for the social IoT systems is proposed. But the security requirements that the outsourcing algorithms should meet are defined and two examples of secure outsourcing algorithms (matrix multiplication and modular exponentiation) that meet the given security requirements are provided.
Book ChapterDOI
Context-Aware Intelligent Systems for Fog Computing Environments for Cyber-Threat Intelligence
TL;DR: In this chapter, sensitive data collection and analysis methods and techniques are elaborated through several context-aware intelligence systems to expose the use of Fog Computing for analysis of edge networks data for cyber-threat intelligence.
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.