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 Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions
TL;DR: The VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications are illustrated and new directions in the field of VEC are given to the other researchers.
Journal ArticleDOI
Cloud-centric IoT based disease diagnosis healthcare framework
Prabal Verma,Sandeep K. Sood +1 more
TL;DR: A cloud-centric IoT basedm-healthcare monitoring disease diagnosing framework is proposed which predicts the potential disease with its level of severity and experimental results show that the proposed methodology outperforms the baseline methods for disease prediction.
Journal ArticleDOI
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.
Cristiano André da Costa,Cristian Pasluosta,Cristian Pasluosta,Björn M. Eskofier,Denise Bandeira da Silva,Rodrigo da Rosa Righi +5 more
TL;DR: It is concluded that a patient-centered approach is critical, and that the IoHT paradigm will continue to provide more optimal solutions for patient management in hospital wards.
Journal ArticleDOI
Fog computing: from architecture to edge computing and big data processing
TL;DR: The paper discusses the taxonomy of fog computing, how this is different from cloud computing and edge computing technologies, its applications, emerging key technologies and various challenges involved in fog technology.
Journal ArticleDOI
An Overview of Service Placement Problem in Fog and Edge Computing
TL;DR: A survey of current research conducted on Service Placement Problem (SPP) in the Fog/Edge Computing is presented and a categorization of current proposals is given and identified issues and challenges are discussed.
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.