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Journal ArticleDOI

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

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.

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Citations
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Journal ArticleDOI

A service-oriented middleware framework for manufacturing industry 4.0

TL;DR: Man4Ware is introduced, a service-oriented middleware for Industry 4.0 that can help facilitate the development and operations of cloud and fog-integrated smart manufacturing applications and offers many advantages through service level interfaces.
Journal ArticleDOI

Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities

TL;DR: The findings revealed that IoT, blockchain, and fog computing had become drivers of efficiency in the healthcare services in smart cities and Blockchain has been presented as a promising technology for ensuring the protection of private data, creating a decentralized database, and improving the interoperability of data.
Journal ArticleDOI

Calibration-based tool condition monitoring for repetitive machining operations

TL;DR: The proposed monitoring approach reduces the complexity of monitoring model by considering the important characteristic of repeatability in process which has been commonly found in the mass production scenario and implements the calibration procedure to improve the flexibility of the model application to actual machining processes with complex toolpath designs and variable cutting conditions.
Proceedings ArticleDOI

Challenges Facing the Industrial Implementation of Fog Computing

TL;DR: The role of Fog Computing solution to enhance the Cloud layer (distribution, low latency, real-time,. . . ) is explained and its ability to be implemented in manufacturing systems is studied.
Book ChapterDOI

Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directions.

TL;DR: This chapter first summarizes four critical aspects for handling geospatial big data with HPC and then briefly reviews existing HPC-related platforms and tools for geosp spatial big data processing.
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, +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

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

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).
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