• DocumentCode
    2929205
  • Title

    Semantic Cloud Based on SLN and ALN

  • Author

    Liu, Fangfang ; Luo, Xiangfeng ; Yu, Jie ; Liang, Guoning

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    314
  • Lastpage
    317
  • Abstract
    Clouding computing is considered as one of the most promising computing paradigms. Most already existing systems, which provide cloud computing, only pay attention to aggregating resources with the same computing capability and provide user with local optimized and discontinuous results. To satisfy users´ complex requirements it´s necessary to orchestrate resources with different functions together and produce the personalized resource flow to users. In this paper, we offer an approach for the issues. We build a semantic layer for cloud computing to connect resources from different domains. Our approach relies on the semantic representation and relationship of resources. The Similarity Link Network (SLN) and Association Link Network (ALN) based on the similarity and association relation respectively, form SLN-cloud and ALN-cloud which makes the clouds with rich abilities possible. Accurate and continuous results can be provided to users depending on the global view of resources.
  • Keywords
    grid computing; association link network; association relation; semantic cloud computing; similarity link network; similarity relation; Application software; Cloud computing; Cognitive informatics; Computer architecture; Computer networks; Concurrent computing; Distributed computing; Grid computing; Knowledge engineering; Next generation networking; cloud computing; semantic link network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
  • Conference_Location
    Zhuhai
  • Print_ISBN
    978-0-7695-3810-5
  • Type

    conf

  • DOI
    10.1109/SKG.2009.87
  • Filename
    5370108