A Remote Test Environment for a Large-Scale Microcontroller Laboratory Course

2020 ◽  
pp. 231-246
Author(s):  
Manfred Smieschek ◽  
Stefan Rakel ◽  
David Thönnessen ◽  
Andreas Derks ◽  
André Stollenwerk ◽  
...  
Keyword(s):  
Large Scale ◽  
Test Environment ◽  
Laboratory Course

Integrated Cloud Computing Environment for Upstream Geoscience Workflows

2021 ◽  
Author(s):  
Murtadha Al-Habib ◽  
Yasser Al-Ghamdi
Keyword(s):  
High Performance ◽  
Large Scale ◽  
End Users ◽  
Data Sets ◽  
Production Environment ◽  
Remote Visualization ◽  
Test Environment ◽  
Petroleum Resources ◽  
Customized Production ◽  
And Performance

Abstract Extensive computing resources are required to leverage todays advanced geoscience workflows that are used to explore and characterize giant petroleum resources. In these cases, high-performance workstations are often unable to adequately handle the scale of computing required. The workflows typically utilize complex and massive data sets, which require advanced computing resources to store, process, manage, and visualize various forms of the data throughout the various lifecycles. This work describes a large-scale geoscience end-to-end interpretation platform customized to run on a cluster-based remote visualization environment. A team of computing infrastructure and geoscience workflow experts was established to collaborate on the deployment, which was broken down into separate phases. Initially, an evaluation and analysis phase was conducted to analyze computing requirements and assess potential solutions. A testing environment was then designed, implemented and benchmarked. The third phase used the test environment to determine the scale of infrastructure required for the production environment. Finally, the full-scale customized production environment was deployed for end users. During testing phase, aspects such as connectivity, stability, interactivity, functionality, and performance were investigated using the largest available geoscience datasets. Multiple computing configurations were benchmarked until optimal performance was achieved, under applicable corporate information security guidelines. It was observed that the customized production environment was able to execute workflows that were unable to run on local user workstations. For example, while conducting connectivity, stability and interactivity benchmarking, the test environment was operated for extended periods to ensure stability for workflows that require multiple days to run. To estimate the scale of the required production environment, varying categories of users’ portfolio were determined based on data type, scale and workflow. Continuous monitoring of system resources and utilization enabled continuous improvements to the final solution. The utilization of a fit-for-purpose, customized remote visualization solution may reduce or ultimately eliminate the need to deploy high-end workstations to all end users. Rather, a shared, scalable and reliable cluster-based solution can serve a much larger user community in a highly performant manner.

scholarly journals Resistance Analysis of Open Caisson Towing on Water in the Construction of the Large Scale Bridge

2014 ◽  
Vol 8 (1) ◽  
pp. 433-438 ◽  
Author(s):  
Yang XiaoJun ◽  
Chen Liang ◽  
Zhou Wei ◽  
Xiao Yingjie
Keyword(s):  
Experimental Data ◽  
Physical Model ◽  
Large Scale ◽  
Similarity Transformation ◽  
Environmental Data ◽  
Growth Trend ◽  
Test Environment ◽  
Test Mode ◽  
Large Correlation ◽  
Towing Speed

In order to solve the towing problem on water of the open caisson in the construction of the large scale bridge efficiently, combining with the towing operation project, the dragged open caisson and environmental data, etc. we design and produce the open caisson physical model and configure the test environment, use the force cell to collect real-time experimental data, analyze and demonstrate the towing resistance of the open caisson. Use the experimental data and the model of resistance similarity transformation to calculate the resistance, while the towing speed is 1m/s, 2m/s and 3m/s, the resistance is 323 KN, 724KN, 1398KN in the straight test mode and the resistance is 365 KN, 861KN, 2326KN in the transverse test mode. The results show that the resistance of the open caisson has certain growth trend with the towing speed rising, which both have large correlation, and the resistance of transverse situation is larger than straight mode.

scholarly journals Uncertainty Analysis of Ship Model Propulsion Test on Actual Seas Based on Monte Carlo Method

2020 ◽  
Vol 8 (6) ◽  
pp. 398 ◽  
Author(s):  
Guangli Zhou ◽  
Yuwei Wang ◽  
Dagang Zhao ◽  
Jianfeng Lin
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Large Scale ◽  
Performance Test ◽  
The Yellow Sea ◽  
Test Accuracy ◽  
Northwestern Part ◽  
Test Environment ◽  
Ship Model ◽  
Propulsion Performance

As a new testing technology, large-scale ship model tests on the sea are advantageous in addressing the scale effect in ship models and in simulating ship navigation conditions. In this study, the uncertainty of a ship model propulsion test on the sea was analyzed using the Monte Carlo method, and the influence of the test environment was quantified. We used a 25 m-long ship model for the propulsion performance test. Based on the procedure recommended by the International Standardization Organization (ISO), several tests were conducted on the Yellow Sea (the northwestern part of the East China Sea). The results demonstrate that the wind and waves in the environment are the two factors that have the greatest influence on the test accuracy. This study will aid the development of sea trials, and the analysis method used in the propulsion test is also suitable for many complex ship tests.

scholarly journals Analysis on route information failure in IP core networks by NFV-based test environment

2021 ◽  
Vol 2 (4) ◽  
pp. 101-112
Author(s):  
Xia Fei ◽  
Aerman Tuerxun ◽  
Jiaxing Lu ◽  
Ping Du ◽  
Akihiro Nakao
Keyword(s):  
Mobile Networks ◽  
Large Scale ◽  
Practical Method ◽  
Recall Rate ◽  
Test Environment ◽  
Cloud Data ◽  
Core Networks ◽  
Refinement Method ◽  
Route Information ◽  
Cloud Data Centers

Stable and high-quality Internet connectivity is mandatory for 5G mobile networks. However, the pandemic of COVID-19 has forced global and large-scale staying at home and telecommuting in many countries. The increasing traffic has induced more pressure on networks, devices and cloud data centers. It becomes an essential task for network operators to enable their ability to automatically and rapidly detect network and device failures. We propose a highly practical method based on highly practical technology. Our method has a high generalization ability that can efficiently extract features from large-scale unstructured data and ensure high accuracy prediction. First, 997 useful features are extracted from 28GB-per-day network logs. Then, a differential approach is employed to preprocess the extracted features so as to highlight the differences between normal and abnormal states. Third, those features are refined based on the feature importance we calculated. According to our experiment, the proposed feature extraction and refinement method can reduce computation without degrading the performance. Among the five types of failures, we achieve a 100% recall rate in four types and the rest can also reach 71%. Overall, the total average prediction accuracy of the proposed method is 94%.

scholarly journals Teaching Large-Scale Digital Experimentation to Undergraduates and Graduate Students

2018 ◽  
Author(s):  
J. Nathan Matias
Keyword(s):  
Graduate Students ◽  
Graduate Education ◽  
Large Scale ◽  
Field Experiments ◽  
Open Educational Resources ◽  
Test Environment ◽  
Teaching Online ◽  
Princeton University ◽  
Scale Field ◽  
Large Scale Field

In this extended abstract, I review syllabi of classes about digital experimentation for their relevance to contemporary product and policy evaluation. I also describe SOC 412, a novel cross-disciplinary undergraduate and graduate class that I teach at Princeton University on the craft and ethics of digital experimentation at scale. In the class, students learn to conduct multiple experiments and work in teams to design a large-scale field experiment online. The class is also a test environment for open educational resources for teaching online field experiments. I conclude the paper by identifying practical steps that academic educators and industry researchers can take to advance and spread undergraduate and graduate education in digital experimentation.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Large-scale Motion of Solar Filaments

2000 ◽  
Vol 179 ◽  
pp. 205-208
Author(s):  
Pavel Ambrož ◽  
Alfred Schroll
Keyword(s):  
Magnetic Flux ◽  
Proper Motion ◽  
Time Scale ◽  
Large Scale ◽  
Accuracy Of Measurements ◽  
Solar Filaments ◽  
General Movement ◽  
Scale Motion ◽  
Velocity Scatter

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.

Sign in / Sign up

Export Citation Format

Share Document