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
Fog Computing Architecture, Applications and Security Issues
Rahul Neware,Urmila Shrawankar +1 more
TL;DR: This article discusses KeywoRdS 5G, Cloud Computing, Edge Computing, Fog Computing, Internet of Things, Security and Privacy, Software Defined Networking, Vehicular Ad-hoc Networks (VANET)
Book ChapterDOI
Self-Aware Fog Computing in Private and Secure Spheres
TL;DR: Mist computing is an enabler for many applications, which cannot be realized with alternative methods, such as smart cities, where city streets adapt to the changes happening in the city, socially intelligent houses where indoor environment management is integrated with inhabitants health monitoring, or military sensing systems where situational information is automatically deduced from raw data and delivered to the information consumers.
Journal ArticleDOI
Mimicking FogDirector application management
TL;DR: This paper presents a simple operational semantics of the main features of FogDirector, which provides a compact reference for the tool and introduces a prototype, based on such semantics, that can constitute the core of a simulation environment of Fog director application management.
Journal ArticleDOI
Distributed Fog Computing for Internet of Things (IoT) Based Ambient Data Processing and Analysis
TL;DR: A conceptual model of distributed fog computing and a machine learning based data processing and analysis model is proposed for the optimal utilization of cloud resources and would offer the scalability of the system by integrating more air quality monitoring nodes in the IoT network.
Journal ArticleDOI
A Survey on Energy Efficient Routing Techniques in WSNs Focusing IoT Applications and Enhancing Fog Computing Paradigm
Loveleen Kaur,Rajbir Kaur +1 more
TL;DR: This study examines the most recent routing protocols for sensor networks and introduces a new routing protocol to increase the energy efficiency of sensor devices in the Internet of Things.
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.