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
Enhancing the performance of smart electrical grids using data mining and fuzzy inference engine
TL;DR: In this paper , a hybrid feature selection method called feature selection-based ranking (FSBR) is proposed to enhance the smart grid by proposing a new hybrid feature-selection method called FSBR.
Journal ArticleDOI
On-Device Intelligence for Malfunction Detection of Water Pump Equipment in Agricultural Premises: Feasibility and Experimentation
Dimitrios Loukatos,M. Kondoyanni,Gerasimos Alexopoulos,Chrysanthos Maraveas,Konstantinos G. Arvanitis +4 more
TL;DR: In this paper , the authors highlight the steps for adding intelligence to sensors installed on pumps in order to intercept and deliver malfunction alerts, based on cheap in situ microcontrollers, sensors, and radios and easy-to-use software tools.
Journal ArticleDOI
Consistency of Continuous Queries in Fog Computing
TL;DR: This paper studies global serializability of the entire computations on the batches of fog nodes in terms of the sensitivity of the 1-CQs and the CQ-segments to breaks in the sequence of input batches due to some batches not being processed completely.
Journal ArticleDOI
A Study on Impact of DIS flooding Attack on RPL-based 6LowPAN Network
Vani Rajasekar,S. Rajkumar +1 more
TL;DR: In this article , the authors conduct a simulation-based analysis of the impact of the DIS flooding attack on RPL-based 6LoWPAN under four distinct scenarios, each with two test cases.
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.