• 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