• DocumentCode
    650207
  • Title

    Semantic interrelation in distributed system through green computing ontology

  • Author

    Jayadianti, Herlina ; Nugroho, Lukito Edi ; Insap Santosa, Paulus ; Alberta Baptista Sousa Pinto, Carlos ; Widayat, Wahyu

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Univ. Gadjah Mada, Yogyakarta, Indonesia
  • fYear
    2013
  • fDate
    7-8 Oct. 2013
  • Firstpage
    216
  • Lastpage
    220
  • Abstract
    Green computing refers to the system that provides minimal impact on the environment. When we are talking about green computing we discuss about how much energy is used by the system, such as energy used by the system, time used for the search process, and how effective the system is. Related to that issue, trough this paper we want to proposes a new effort to achieve Green Computing in heterogeneous data in distributed system. The technology chosen to deal with them is Ontology. We try to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between different communities. If a very large amount of distributed data is not managed and distributed properly, user will need more time to do a search process. The longer the search is done, the more energy is used.
  • Keywords
    distributed processing; green computing; ontologies (artificial intelligence); distributed system; energy use; environmental impact; green computing ontology; semantic interrelation; Data Heterogeneity; Effectiveness; Green Computing; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on
  • Conference_Location
    Yogyakarta
  • Print_ISBN
    978-1-4799-0423-5
  • Type

    conf

  • DOI
    10.1109/ICITEED.2013.6676241
  • Filename
    6676241