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Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1
Performance metrics and ontology for describing performance data of grid workflows
Cardiff, Wales, UK
May 09-May 12
ISBN: 0-7803-9074-1
ASCII Text
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Hong-Linh Truong, T. Fahringer, F. Nerieri, S. Dustdar, "Performance metrics and ontology for describing performance data of grid workflows," Cluster Computing and the Grid, IEEE International Symposium on, vol. 1, pp. 301-308, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1, 2005.
 
 
BibTex
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@article{ 10.1109/CCGRID.2005.1558569,
author = {Hong-Linh Truong and T. Fahringer and F. Nerieri and S. Dustdar},
title = {Performance metrics and ontology for describing performance data of grid workflows},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {1},
year = {2005},
isbn = {0-7803-9074-1},
pages = {301-308},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2005.1558569},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - Performance metrics and ontology for describing performance data of grid workflows
SN - 0-7803-9074-1
SP301
EP308
A1 - Hong-Linh Truong,
A1 - T. Fahringer,
A1 - F. Nerieri,
A1 - S. Dustdar,
PY - 2005
VL - 1
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
Hong-Linh Truong, Inst. for Software Sci., Vienna Univ., Austria
T. Fahringer, Inst. for Software Sci., Vienna Univ., Austria
F. Nerieri, Sch. of Comput. & Inf. Eng., Ulster Univ., Coleraine, UK
S. Dustdar, LaRIA, Amiens, France
To understand the performance of grid workflows, performance analysis tools have to select, measure and analyze various performance metrics of the workflows. However there is a lack of a comprehensive study of performance metrics which can be used to evaluate the performance of a workflow executed in the grid. This paper presents performance metrics that performance monitoring and analysis tools should provide during the evaluation of the performance of grid workflows. Performance metrics are associated with many levels of abstraction. We introduce an ontology for describing performance data of grid workflows. We describe how the ontology can he utilized for monitoring and analyzing the performance of grid workflows.
Citation:
Hong-Linh Truong, T. Fahringer, F. Nerieri, S. Dustdar, "Performance metrics and ontology for describing performance data of grid workflows," ccgrid, vol. 1, pp.301-308, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1, 2005
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