DocumentCode :
2829419
Title :
Taxonomy and an Ontology for Grid Metrics
Author :
Ma, Siyuan ; Dong, Xiaoshe ; Mei, Yiduo ; Wang, Zhao ; Zhu, Zhengdong
Author_Institution :
Dept. of Comput. Sci. & Technol., Xian Jiaotong Univ., Xian
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
300
Lastpage :
307
Abstract :
Grid metrics is the essential way for both human and software (machine) to understand the state of a grid system and evaluate its performance. To achieve a better insight into the grid system, the knowledge and profiling of grid metrics are indispensable for the selection and calculation of metrics. We formulate the resource model and workflow model in grid, then introduce an ontology to capture critical characteristics of grid metrics. Based on the ontology, a taxonomy is proposed to organize and characterize grid metrics to build general knowledge of them. Better understanding of grid metrics helps for further decision-making such as designing monitoring services or improving system performance.
Keywords :
grid computing; ontologies (artificial intelligence); decision-making; grid metrics; grid system; ontology; taxonomy; Computer science; Decision making; Humans; Measurement; Monitoring; Ontologies; Quality of service; Resource management; System performance; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ChinaGrid Annual Conference, 2008. ChinaGrid '08. The Third
Conference_Location :
Dunhuang, Gansu
Print_ISBN :
978-0-7695-3306-3
Type :
conf
DOI :
10.1109/ChinaGrid.2008.48
Filename :
4624504
Link To Document :
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