On Performance of Commodity Single Board Computer-Based Clusters: A Big Data Perspective

2019 ◽  
pp. 349-375 ◽  
Author(s):  
Basit Qureshi ◽  
Anis Koubaa
Keyword(s):  
Big Data ◽  
Single Board Computer ◽  
Computer Based

scholarly journals Is It Possible to Apply Agile Methods to Contribute to the Linux Kernel?

2020 ◽  
pp. 291-297
Author(s):  
Thatiane de Oliveira Rosa ◽  
Alfredo Goldman
Keyword(s):  
Software Development ◽  
Agile Methods ◽  
Years Of Experience ◽  
Linux Kernel ◽  
Teaching Activity ◽  
Single Board Computer ◽  
Computer Based

Abstract In this document, we describe the experience of teaching Agile Methods for developing projects related to the Linux Kernel, during the XP Lab course. In 2018, the first project related to this context emerged. This project had the objective of making adjustments to the driver for Linux IIO subsystem. The second project was developed in 2019 and aimed to refactor the Ethernet driver used in the kernel of a Brazilian Single Board Computer. Based on 19 years of experience offering the XP Lab course, we consider the development of these projects to be a challenging teaching activity, which deserves to be presented and discussed with students, educators, and professionals. Our aim is to show that it is possible to adapt Agile Values to different software development settings.

scholarly journals Error Model in Single-Board Computer-Based Phasor Measurement Units

2020 ◽  
Vol 69 (9) ◽  
pp. 6155-6164
Author(s):  
Carlo Guarnieri Calo Carducci ◽  
Gianluca Lipari ◽  
Nicola Giaquinto ◽  
Ferdinanda Ponci ◽  
Antonello Monti
Keyword(s):  
Error Model ◽  
Phasor Measurement Units ◽  
Single Board Computer ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Computer Based

Single-board computer based control system for a portable Raman device with integrated chemical identification

2004 ◽  
Vol 75 (6) ◽  
pp. 2016-2023 ◽  
Author(s):  
Joel Mobley ◽  
Brian M. Cullum ◽  
Alan L. Wintenberg ◽  
S. Shane Frank ◽  
Robert A. Maples ◽  
...  
Keyword(s):  
Control System ◽  
Chemical Identification ◽  
Single Board Computer ◽  
Computer Based ◽  
Portable Raman

Hadoop Map Only Job for Enciphering Patient-Generated Health Data

2019 ◽  
pp. 302-317
Author(s):  
Arushi Jain ◽  
Vishal Bhatnagar
Keyword(s):  
Health Care ◽  
Big Data ◽  
Health Sector ◽  
Big Data Analytics ◽  
Data Encryption ◽  
Medical Product ◽  
Personal Health Information ◽  
Personal Health ◽  
Nature Of Information ◽  
Computer Based

Today, Big Data is being leveraged in many industries from criminal justice to health care to real estate with powerful outcomes. Organizations are using Big Data to predict the future in turn making them smarter and efficient. All the health care data such as discharge and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of Big Data analytics is becoming increasingly popular at health care centres, in clinical research, and consumer based medical product development. The biggest challenge with implementation of big data is that the nature of information of public health sector is of very sensitive nature and needs to be protected from unauthorized access and release of contents. Therefore, to provide solution to the deidentifying personal health big data in this paper we author make use of only mapper job framework for data encryption.

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