• DocumentCode
    249430
  • Title

    An Autonomic Mediation Framework for Complex Physical Environments

  • Author

    Lalanda, Philippe ; Hamon, Catherine

  • Author_Institution
    Grenoble Univ., Grenoble, France
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    506
  • Lastpage
    513
  • Abstract
    The term Big Data refers to large amounts of data coming from multiple resources, and to the techniques used to collect, manage and analyze them. In this paper, we focus of the collection of such data in complex physical environments like digital houses, smart buildings or connected plants. Precisely, we present a distributed, autonomic mediation framework named Cilia. This framework facilitates the design and deployment of mediation chains and their management at runtime. We also present a motivating example in the field of smart building and we explain why autonomic features are absolutely necessary in domains characterized by important environmental dynamism and by evolving needs of decision-makers. Cilia is currently validated in collaborative projects with the Orange Labs.
  • Keywords
    Big Data; Internet; distributed databases; software fault tolerance; Cilia; Internet; Orange Labs; autonomic computing; autonomic mediation framework; big data; complex physical environments; connected plants; data analysis; data collection; data management; digital houses; environmental dynamism; smart buildings; Mediation; Monitoring; Protocols; Runtime; Sensors; Smart buildings; Autonomic Computing; Big Data; Mediation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2014 IEEE International Congress on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5056-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2014.80
  • Filename
    6906822