Reference architecture for integration platforms

P.M. Singh, M.J. van Sinderen, R.J. Wieringa

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)


    In addition to in-house applications, networked enterprises are increasingly using data and services from various external sources. Conversion of data to useful information and IT alignment with business goals are big challenges faced by these enterprises. Integration platforms (IPs) aid enterprises in solving such challenges. However, the large number of commercial and academic IPs currently available have created a new problem for enterprises, namely whether to build their own IP or buy/rent a existing IP. Also, how to choose from the plethora of different design/solution options that are available? This paper presents a study and analysis of 31 IPs to bring out best practices in IP design. Following a commonality analysis of IPs from different research domains, an IP reference architecture is proposed. The reference architecture will aid enterprises in making better IP design/solution choices. It can also contribute to IP research by acting as a common reference point for future IP analysis.
    Original languageEnglish
    Title of host publication2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC)
    Place of PublicationPiscataway, NJ, USA
    Number of pages10
    ISBN (Electronic)978-1-5090-3045-3
    ISBN (Print)978-1-5090-3046-0
    Publication statusPublished - 13 Oct 2017
    Event21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017 - Canada, Quebec City, Canada
    Duration: 10 Oct 201713 Oct 2017
    Conference number: 21

    Publication series

    NameIEEE International Enterprise Distributed Object Computing Conference (EDOC)
    ISSN (Electronic)2325-6362


    Conference21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017
    Abbreviated titleEDOC
    CityQuebec City


    • Enterprise Distributed Object Computing


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