scholarly journals Analyzing the Appropriateness of ‘Functions’ in the Physical Computing System Domain in Informatics

2016 ◽  
Vol 9 (24) ◽  
Author(s):  
An Young Hee ◽  
Kim Ja Mee ◽  
Lee Won Gyu
Keyword(s):  
Computing System ◽  
Physical Computing

scholarly journals The Data Sensor Hub (DaSH): A Physical Computing System to Support Middle School Inquiry Science Instruction

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6243
Author(s):  
Alexandra Gendreau Chakarov ◽  
Quentin Biddy ◽  
Colin Hennessy Elliott ◽  
Mimi Recker
Keyword(s):  
Data Streams ◽  
Teacher Practices ◽  
Computing System ◽  
Sensor Data ◽  
Programming Environment ◽  
Physical Computing ◽  
Science Practices ◽  
Instructional Units ◽  
Scientific Phenomena ◽  
Science Classes

This article describes a sensor-based physical computing system, called the Data Sensor Hub (DaSH), which enables students to process, analyze, and display data streams collected using a variety of sensors. The system is built around the portable and affordable BBC micro:bit microcontroller (expanded with the gator:bit), which students program using a visual, cloud-based programming environment intended for novices. Students connect a variety of sensors (measuring temperature, humidity, carbon dioxide, sound, acceleration, magnetism, etc.) and write programs to analyze and visualize the collected sensor data streams. The article also describes two instructional units intended for middle grade science classes that use this sensor-based system. These inquiry-oriented units engage students in designing the system to collect data from the world around them to investigate scientific phenomena of interest. The units are designed to help students develop the ability to meaningfully integrate computing as they engage in place-based learning activities while using tools that more closely approximate the practices of contemporary scientists as well as other STEM workers. Finally, the article articulates how the DaSH and units have elicited different kinds of teacher practices using student drawn modeling activities, facilitating debugging practices, and developing place-based science practices.

scholarly journals Evaluation of a Cyber-Physical Computing System with Migration of Virtual Machines during Continuous Computing

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 42
Author(s):  
Vladimir Bogatyrev ◽  
Aleksey Derkach
Keyword(s):  
Cluster Computing ◽  
Virtual Machines ◽  
Control Process ◽  
Computing System ◽  
Time To Failure ◽  
Physical Computing ◽  
Computing Process ◽  
Proposed Model ◽  
The Difference ◽  
Mean Time

The Markov model of reliability of a failover cluster performing calculations in a cyber-physical system is considered. The continuity of the cluster computing process in the event of a failure of the physical resources of the servers is provided on the basis of virtualization technology and is associated with the migration of virtual machines. The difference in the proposed model is that it considers the restrictions on the allowable time of interruption of the computational process during cluster recovery. This limitation is due to the fact that, if two physical servers fail, then object management is lost, which is unacceptable. Failure occurs if their recovery time is longer than the maximum allowable time of interruption of the computing process. The modes of operation of the cluster with and without system recovery in the event of a failure of part of the system resources that do not lead to loss of continuity of the computing process are considered. The results of the article are aimed at the possibility of assessing the probability of cluster operability while supporting the continuity of computations and its running to failure, leading to the interruption of the computational (control) process beyond the maximum permissible time. As a result of the calculation example for the presented models, it was shown that the mean time to failure during recovery under conditions of supporting the continuity of the computing process increases by more than two orders of magnitude.

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