• DocumentCode
    141819
  • Title

    Semantic management of Enterprise Integration Patterns: A use case in Smart Grids

  • Author

    Patri, Om P. ; Panangadan, Anand V. ; Sorathia, Vikrambhai S. ; Prasanna, Viktor K.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    Enterprise Integration Patterns are a set of design patterns for linking multiple systems using asynchronous messaging interfaces. This approach to system integration is increasingly popular due to its relatively simple loose coupling requirement. Implementations of these patterns are available in current integration frameworks but these are not semantic in nature. This paper introduces the concept of automatic management of messaging resources in an integration application via the use of a semantic representation of the Enterprise Integration Patterns. We have developed semantic representations of some of the commonly used integration patterns, which include a description of the expected resource requirements for each pattern. We then demonstrate this approach by considering the design of an application to connect mobile customers to Smart Power Grid companies (for the purpose of near real-time regulation of electricity usage). We illustrate potential savings in messaging resources and automatic lifecycle management using real-world sensor data collected in a Smart Grid project.
  • Keywords
    electricity supply industry; electronic messaging; object-oriented programming; semantic networks; smart power grids; asynchronous messaging interfaces; automatic lifecycle management; design patterns; electricity usage; enterprise integration patterns; messaging resources; mobile customers; real-time regulation; real-world sensor data; resource requirements; semantic management; semantic representation; smart grid project; smart power grid companies; system integration; Buildings; Electricity; Load management; Middleware; Ontologies; Semantics; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ICDEW.2014.6818302
  • Filename
    6818302