scholarly journals A configurable and executable model of Spark Streaming on Apache YARN

2020 ◽  
Vol 11 (2) ◽  
pp. 185
Author(s):  
Einar Broch Johnsen ◽  
Ingrid Chieh Yu ◽  
Ming Chang Lee ◽  
Jia Chun Lin
Keyword(s):  
Author(s):  
Derrick Morris ◽  
David Evans ◽  
Peter Green ◽  
Colin Theaker

2014 ◽  
Vol 571-572 ◽  
pp. 490-496
Author(s):  
Wen Bo Jing ◽  
Yong Ming Gao ◽  
Xue Bo Zhang

For large-scale equipment systems whose elements and internal structure are complex, traditional systems engineering methods can’t meet the requirements of the system modeling. In this paper, a kind of modeling method based on UPDM is developed to solve the complexity of equipment systems. This paper proceeds as follow. Firstly, analyze the mission of equipment systems; secondly, using a variety of views product describes the equipment systems; then, validate the systems structure by generating an executable model. Finally, an experiment about equipment systems modeling of space weaponry indicates the modeling method based on UPDM is effective.


2021 ◽  
Vol 2 ◽  
Author(s):  
Esther M. Sundermann ◽  
Maarten Nauta ◽  
Arno Swart

Dose-response models are an important part of quantitative microbiological risk assessments. In this paper, we present a transparent and ready-to-use version of a published dose-response model that estimates the probability of infection and illness after the consumption of a meal that is contaminated with the pathogen Campylobacter jejuni. To this end, model and metadata are implemented in the fskx-standard. The model parameter values are based on data from a set of different studies on the infectivity and pathogenicity of Campylobacter jejuni. Both, challenge studies and outbreaks are considered, users can decide which of these is most suitable for their purpose. We present examples of results for typical ingested doses and demonstrate the utility of our ready-to-use model re-implementation by supplying an executable model embedded in this manuscript.


2020 ◽  
Vol 11 (2) ◽  
pp. 185
Author(s):  
Jia Chun Lin ◽  
Ming Chang Lee ◽  
Ingrid Chieh Yu ◽  
Einar Broch Johnsen
Keyword(s):  

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