Journal ArticleDOI
A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
Dazhong Wu,Shaopeng Liu,Li Zhang,Janis P. Terpenny,Robert X. Gao,Thomas R. Kurfess,Judith Ann Guzzo +6 more
TLDR
A new computational framework that enables remote real-time sensing, monitoring, and scalable high performance computing for diagnosis and prognosis is introduced and a proof-of-concept prototype is developed to demonstrate how the framework can enable manufacturers to monitor machine health conditions and generate predictive analytics.About:
This article is published in Journal of Manufacturing Systems.The article was published on 2017-04-01. It has received 223 citations till now. The article focuses on the topics: Prognostics & Wireless sensor network.read more
Citations
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Journal ArticleDOI
A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications
TL;DR: Despite the cloud’s highly scalable processing capacity, the fog’'s decentralised, localised and autonomous topology may provide greater consistency, reliability, privacy and security for Industry 4.0 engineering applications, with the difference in observed maximum latency ranging from 67.7%–99.4%.
Proceedings ArticleDOI
Applying Blockchain in Industry 4.0 Applications
Nader Mohamed,Jameela Al-Jaroodi +1 more
TL;DR: A middleware approach for utilizing blockchain services and capabilities to enable more secure, trustable, traceable, reliable, and autonomous smart manufacturing applications to realize the promising benefits of Industry 4.0 for smart manufacturing.
Journal ArticleDOI
Holistic approach to machine tool data analytics
TL;DR: This paper proposes a holistic approach to machine tool data analytics in order to tackle some of the identified shortcomings of current practices, and provides selected implementation examples following the identified analytics objectives.
Journal ArticleDOI
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing
TL;DR: A digital twin-based big data virtual and real fusion (DT-BDVRL) reference framework supported by Industrial Internet towards smart manufacturing and the results that run in virtual spaces are synchronized and executed in physical spaces through Industrial Internet platforms, effectively improving the physical execution effect of BDLA models.
Journal ArticleDOI
Fog computing: A taxonomy, systematic review, current trends and research challenges
TL;DR: This review article aims to classify recently published studies and investigate the current status in the area of fog computing, and proposed taxonomy for fog computing frameworks based on the existing literature and compared the different research work based on taxonomy.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
ReportDOI
The NIST Definition of Cloud Computing
Peter Mell,Timothy Grance +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Journal ArticleDOI
A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Book
The Grid 2: Blueprint for a New Computing Infrastructure
Ian Foster,Carl Kesselman +1 more
TL;DR: The Globus Toolkit as discussed by the authors is a toolkit for high-throughput resource management for distributed supercomputing applications, focusing on real-time wide-distributed instrumentation systems.
Proceedings ArticleDOI
Fog computing and its role in the internet of things
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).