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
Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube
Nitin Rathore,Anand Rajavat +1 more
TL;DR: The performance of MSA and monolithic architecture is analyzed and compared and according to the results and discussions, MSA is a better choice for building scalable edge computing environment.
Peer Review
Recent detection and prediction methods for urinary tract infection in humans: a detailed review
TL;DR: The causes, impacts, requirements for the prediction of urinary illness, and several state-of-the-art forecast methods that shows the reviewed method attain major improvement and high efficacy are reviewed.
Journal ArticleDOI
Workload Classification: For Better Resource Management in Fog-Cloud Environments
Zahid Raza,Nupur Jangu +1 more
TL;DR: This work describes various cloud-fog workloads and relates them to their suitable place of execution in such a hybrid environment using the hybrid cloud computing and fog/IoT architecture to realize better handling of workload/requests.
Proceedings ArticleDOI
A Power Multi-Service Transmission Scheduling Method in 5G Edge-Cloud Collaboration Scenario
TL;DR: In this paper , a power multi-service transmission scheduling method based on the biogeo-graphic natural evolution (BNE) algorithm in the 5G cloud-edge collaborative scenario is proposed.
Proceedings ArticleDOI
Graph-optimized progressive hybrid greyfield wireless access virtualization
TL;DR: A progressive greyfield WAV strategy that optimizes the authors' dynamic utility through an efficient combination of C- and F-RANs is devised that outperforms both the greenfield and the pre-planed greyfield “turnkey” WAV strategies.
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.