scholarly journals METHODOLOGY OF NETWORK ENVIRONMENT TESTING FOR IOT DEVICES

2021 ◽  
Author(s):  
Vladyslav Her ◽  
Viktoriia Taraniuk ◽  
Valentyna Tkachenko ◽  
Serhiy Nikolskiy ◽  
Iryna Klymenko
Keyword(s):  
Performance Test ◽  
Basic Knowledge ◽  
Performance Tests ◽  
Network Environment ◽  
Testing Methods ◽  
Writing Test ◽  
Testing Theory ◽  
Iot Devices ◽  
A Performance

The article describes the basics of testing: writing test documentation (an example based on a report defect was proposed) and some testing methods. A performance test was also developed to test the load. Received basic knowledge of testing theory, as well as skills of writing and using bash scripts for performance tests.

The construction of a performance test.

2006 ◽  
pp. 272-334
Author(s):  
J. Crosby Chapman
Keyword(s):  
Performance Test ◽  
A Performance

scholarly journals Combining Performance Testing and Metadata Models to Support Fault Detection and Diagnostics in Smart Buildings

2019 ◽  
Vol 2 (3) ◽  
pp. 28
Author(s):  
Elena Markoska ◽  
Aslak Johansen ◽  
Mikkel Baun Kjærgaard ◽  
Sanja Lazarova-Molnar ◽  
Muhyiddine Jradi ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Fault Detection ◽  
Performance Test ◽  
Performance Testing ◽  
Performance Tests ◽  
Actual Performance ◽  
Hypothetical Scenario ◽  
Wide Range ◽  
Promising Practice

Performance testing of components and subsystems of buildings is a promising practice for increasing energy efficiency and closing gaps between intended and actual performance of buildings. A typical shortcoming of performance testing is the difficulty of linking a failing test to a faulty or underperforming component. Furthermore, a failing test can also be linked to a wrongly configured performance test. In this paper, we present Building Metadata Performance Testing (BuMPeT), a method that addresses this shortcoming by using building metadata models to extend performance testing with fault detection and diagnostics (FDD) capabilities. We present four different procedures that apply BuMPeT to different data sources and components. We have applied the proposed method to a case study building, located in Denmark, to test its capacity and benefits. Additionally, we use two real case scenarios to showcase examples of failing performance tests in the building, as well as discovery of causes of underperformance. Finally, to examine the limits to the benefits of the applied procedure, a detailed elaboration of a hypothetical scenario is presented. Our findings demonstrate that the method has potential and it can serve to increase the energy efficiency of a wide range of buildings.

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