• DocumentCode
    12102
  • Title

    Thingsonomy: Tackling Variety in Internet of Things Events

  • Author

    Hasan, Souleiman ; Curry, Edward

  • Author_Institution
    Nat. Univ. of Ireland, Galway, Ireland
  • Volume
    19
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar.-Apr. 2015
  • Firstpage
    10
  • Lastpage
    18
  • Abstract
    The Internet of Things (IoT) will connect billions of devices to the Internet and create a large-scale dynamic and open environment with high heterogeneity. To assure rapid adoption of IoT applications, application developers and users need to be abstracted from IoT infrastructure via scalable middleware. Event-processing systems have the potential to contribute in filling the gap between the IoT infrastructure and applications layers. Event processing follows a decoupled model of interaction in space, time, and synchronization. However, the dimension of semantic coupling still exists and poses a challenge to scalability in highly semantically heterogeneous and dynamic environments such as the IoT. Here, the authors describe an approach based on loosely coupled producers and consumers enabled with approximate semantic matching of events. They emphasize a practitioner perspective to IoT architectures for building software that can tackle heterogeneity of IoT events.
  • Keywords
    Internet of Things; middleware; Internet of Things; IoT applications; approximate semantic matching; event-processing systems; scalable middleware; semantic coupling; thingsonomy; Approximation methods; Energy consumption; Internet of Things; Large-scale systems; Semantics; Internet of Things; Internet/Web technologies; IoT architecture; distributed applications; event processing; semantic normalization;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2015.26
  • Filename
    7006385