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