Please use this identifier to cite or link to this item:
|Title:||On-line application performance monitoring of blood flow simulation in computational grid architectures||Authors:||Tirado-Ramos, Alfredo.
Sloot, Peter M. A.
|Keywords:||DRNTU::Engineering::Computer science and engineering||Issue Date:||2005||Source:||Tirado-Ramos, A., Groen, D., & Sloot, P. (2005). On-line Application Performance Monitoring of Blood Flow Simulation in Computational Grid Architectures. 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 511-516.||Abstract:||We report on our findings after running a number of on-line performance monitoring experiments with a biomedical parallel application to investigate levels of performance at hardware resources distributed across a computational Grid network. We use on-line application monitoring for improved computational resource selection and application optimization. We used a number of user-defined performance metrics within the European CrossGrid Project's G-PM tool together with a blood flow simulation application based on the lattice Boltzmann method for fluid dynamics. We found that the performance results observed during our on-line experiments give us a more accurate view of computational resource status than the regular resource information provided by standard information services to resource brokers, and that on-line monitoring has good potential for optimizing our biomedical application for more efficient runs.||URI:||https://hdl.handle.net/10356/96293
|DOI:||http://dx.doi.org/10.1109/CBMS.2005.79||Rights:||© 2005 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Conference Papers|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.