Taxonomy and an ontology for grid metrics

Siyuan Ma; Xiaoshe Dong; Yiduo Mei; Zhao Wang; Zhengdong Zhu

doi:10.1109/ChinaGrid.2008.48

Taxonomy and an ontology for grid metrics

Siyuan Ma^*, Xiaoshe Dong, Yiduo Mei, Zhao Wang, Zhengdong Zhu

^*Corresponding author for this work

Xi'an Jiaotong University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008
Pages	300-307
Number of pages	8
DOIs	https://doi.org/10.1109/ChinaGrid.2008.48
Publication status	Published - 2008
Externally published	Yes
Event	3rd ChinaGrid Annual Conference, ChinaGrid 2008 - Dunhuang, Gansu, China Duration: 20 Aug 2008 → 22 Aug 2008

Publication series

Name	Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008

Conference

Conference	3rd ChinaGrid Annual Conference, ChinaGrid 2008
Country/Territory	China
City	Dunhuang, Gansu
Period	20/08/08 → 22/08/08

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10.1109/ChinaGrid.2008.48

Cite this

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title = "Taxonomy and an ontology for grid metrics",

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.",

author = "Siyuan Ma and Xiaoshe Dong and Yiduo Mei and Zhao Wang and Zhengdong Zhu",

year = "2008",

doi = "10.1109/ChinaGrid.2008.48",

language = "English",

isbn = "9780769533063",

series = "Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008",

pages = "300--307",

booktitle = "Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008",

note = "3rd ChinaGrid Annual Conference, ChinaGrid 2008 ; Conference date: 20-08-2008 Through 22-08-2008",

}

Ma, S, Dong, X, Mei, Y, Wang, Z & Zhu, Z 2008, Taxonomy and an ontology for grid metrics. in Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008., 4624504, Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008, pp. 300-307, 3rd ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, China, 20/08/08. https://doi.org/10.1109/ChinaGrid.2008.48

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AU - Ma, Siyuan

AU - Dong, Xiaoshe

AU - Mei, Yiduo

AU - Wang, Zhao

AU - Zhu, Zhengdong

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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DO - 10.1109/ChinaGrid.2008.48

M3 - Conference Proceeding

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SN - 9780769533063

T3 - Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008

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BT - Proceedings of the 3rd ChinaGrid Annual Conference, ChinaGrid 2008

T2 - 3rd ChinaGrid Annual Conference, ChinaGrid 2008

Y2 - 20 August 2008 through 22 August 2008

ER -

Taxonomy and an ontology for grid metrics

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