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
More filters
Journal ArticleDOI
A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems
TL;DR: This paper proposes a complex, semi-simulation environment that aims to provide a solution for these IoT challenges and designs an Android-based, mobile IoT device simulator called MobIoTSim, and proposes a customizable cloud gateway to manage these devices by receiving, processing and visualizing sensor data coming from MobIeTSim.
Journal ArticleDOI
Storage as a service in Fog computing : A systematic review
TL;DR: A comprehensive review on storage-as-a-service at Fog layer is presented, elaborates the scope and contribution of keeping storage closer to edge of the network, and classifies the current scenario in secure storage as a service near the edge ofThe network.
Proceedings ArticleDOI
Theoretical Game Approach for Mobile Users Resource Management in a Vehicular Fog Computing Environment
TL;DR: The aim of this paper is to resolve the problem of admission control for applications with different QoS requirements and dynamic vehicle resources by developing the decentralized decision making problem among vehicles device resources as a decentralized game.
Journal ArticleDOI
Low-power portable devices for metagenomics analysis: Fog computing makes bioinformatics ready for the Internet of Things
Ivan Merelli,Lucia Morganti,Elena Corni,Carmelo Pellegrino,Daniele Cesini,Luca Roverelli,Gabriele Zereik,Daniele D'Agostino +7 more
TL;DR: Low-power System-on-Chip architectures represent a feasible way for designing a solution, based on the Fog computing paradigm, for processing locally the raw data, considering both the base calling step and the genome alignment part, and for sending only meaningful results over Internet.
Journal ArticleDOI
Realm Towards Service Optimization in Fog Computing
TL;DR: The strategy for choosing a Fog Service Provider is assessed by which which cloud-based provider provides what.
References
More filters
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.