Performance metrics and ontology for describing performance data of grid workflows

Authors:
Hong-Linh Truong;T. Fahringer;F. Nerieri;S. Dustdar
Affiliations:
Inst. for Software Sci., Vienna Univ., Austria;Inst. for Software Sci., Vienna Univ., Austria;Sch. of Comput. & Inf. Eng., Ulster Univ., Coleraine, UK;LaRIA, Amiens, France
Venue:
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Year:
2005

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Abstract

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.