Impact of resource sharing on performance and performance prediction

2014 ◽  
Author(s):  
Jan Reineke ◽  
Reinhard Wilhelm
Keyword(s):  
Performance Prediction ◽  
Resource Sharing ◽  
And Performance

scholarly journals A Single-Link Failure Recovery Approach Based on Resource Sharing and Performance Prediction in SDN

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 174750-174763
Author(s):  
Ying Wang ◽  
Sixiang Feng ◽  
Hantao Guo ◽  
Xuesong Qiu ◽  
Hengbin An
Keyword(s):  
Performance Prediction ◽  
Resource Sharing ◽  
Failure Recovery ◽  
Link Failure ◽  
Single Link ◽  
And Performance ◽  
Recovery Approach

scholarly journals Impact of Resource Sharing on Performance and Performance Prediction: A Survey

2013 ◽  
pp. 25-43 ◽  
Author(s):  
Andreas Abel ◽  
Florian Benz ◽  
Johannes Doerfert ◽  
Barbara Dörr ◽  
Sebastian Hahn ◽  
...  
Keyword(s):  
Performance Prediction ◽  
Resource Sharing ◽  
And Performance

Experimental and computer aided solubility quantification of diverse lignins and performance prediction

2021 ◽  
Vol 57 (14) ◽  
pp. 1782-1785
Author(s):  
Olumoye Ajao ◽  
Marzouk Benali ◽  
Naïma El Mehdi
Keyword(s):  
Performance Prediction ◽  
Solvent Fractionation ◽  
Computer Aided ◽  
And Performance

New insights on the variability of solubility elucidated for diverse lignins, quantification thereby makes it possible to predict performance for solvent fractionation processes and polymers formulation.

scholarly journals Application of Through-Flow Calculation to Design and Performance Prediction of Centrifugal Compressor

1999 ◽  
Vol 5 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Y. S. Choi ◽  
S. H. Kang
Keyword(s):  
Centrifugal Compressor ◽  
Performance Prediction ◽  
Stokes Equations ◽  
Control Volume ◽  
Computer Code ◽  
Secondary Flows ◽  
Navier Stokes ◽  
Navier Stokes Equations ◽  
Simpler Algorithm ◽  
And Performance

A computer code predicting the flows through the centrifugal compressor with the radial vaneless diffuser was developed and applied to investigate the detailed flowfields, i.e., secondary flows and jet-wake type flow pattern in design and off-design conditions. Various parameters such as slip factors, aerodynamic blockages, entropy generation and two-zone modeling which are widely used in design and performance prediction, were discussed.A control volume method based on a general curvilinear coordinate system was used to solve the time-averaged Navier–Stokes equations and SIMPLER algorithm was used to solve the pressure linked continuity equation. The standardk-εturbulence model was used to obtain the eddy viscosity. Performance of the code was verified using the measured data for the Eckardt impeller.

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