• DocumentCode
    131754
  • Title

    The Research of the Cloud-Terminal Collaborative Technology Based on Smart Home

  • Author

    Yin Bo ; Chen Yi ; Wang Xi ; Wei Zhiqiang

  • Author_Institution
    Coll. oShandongf Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    749
  • Lastpage
    752
  • Abstract
    With the development of the Internet and technology, the trend of the intelligentization to the both ends of net is becoming more and more obvious. Cloud computing obtains rapidly develop and increasingly mature because of the powerful computing and storage capacity. While, the intelligent terminal equipment has a fast development, which outstanding express in stronger processing, popularization and diversify. Both of them promote the application in smart home. However, because of the diversify of the terminal, it causes some problems such as the relatively limited computing power, different data storage ability, various screen size. This paper proposes a cloud-terminal collaborative technology, using semantics and metadata structure to establish a unified and standard data model in the cloud. Then establish a unified and standard data model based on characteristics of the terminal and user requirements in the terminal. Finally, through the model matching, we can use the cloud resources efficiently and pertinently, and then provide personalized service for the user.
  • Keywords
    cloud computing; groupware; home automation; meta data; cloud computing; cloud resources; cloud-terminal collaborative technology; metadata structure; model matching; semantic structure; smart home; Cloud computing; Collaboration; Computational modeling; Data models; Semantics; Smart homes; Cloud-Terminal Collaboration; Match Algorithm; Model; Smart Home;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.184
  • Filename
    6802802