A business model for deploying Web services: A data-centric approach based on factual dependencies

被引:0
|
作者
Baghdadi Y. [1 ]
机构
[1] Department of Computer Science, Sultan Qaboos University, Al-Khod
关键词
Business events; Business model; Business objects; Coordination artifacts; Factual dependency; Information systems; SOA; Web services generation and deployment;
D O I
10.1007/s10257-005-0054-x
中图分类号
学科分类号
摘要
The standards XML, SOAP, WSDL and UDDI allow (i) services to be accessed and executed via the Web; and (ii) a loose coupling of these services. Thanks to these standards, Web services technology is becoming not only a de facto integration standard, but also a de facto Internet standard instance of the SOA architecture. However, the deployment of such a technology is still hindered by some technical as well as methodological issues. This paper proposes a business model with multiple interfaced abstraction levels as a framework to methodologically deploy Web services technology with respect to SOA architecture. The attributes describing the business objects and coordination artifacts as described in the highest abstraction level of the business model, i.e. the universe of discourse, are aggregated according to a time/space constraint called factual dependency. Each aggregation of factually dependent attributes is validated with regard to an actual business event. The aggregation is then interfaced to lead to a well-specified Web service. The resulting comprehensive set of consistent Web services are then registered in a public or a private UDDI to be discovered and invoked by any business process. The proposed Web services generation process aims at unlocking and turning informational assets into actions. It differs from the current IT perspective approaches that generate Web services directly from redundant and inconsistent elements in the enterprise information systems. © Springer-Verlag Berlin 2005.
引用
收藏
页码:151 / 173
页数:22
相关论文
共 50 条
  • [31] IoT Architecture for Urban Data-Centric Services and Applications
    Luckner, Marcin
    Grzenda, Maciej
    Kunicki, Robert
    Legierski, Jaroslaw
    [J]. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2020, 20 (03)
  • [32] Data Subsetting: A Data-Centric Approach to Approximate Computing
    Kim, Younghoon
    Venkataramani, Swagath
    Chandrachoodan, Nitin
    Raghunathan, Anand
    [J]. 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2019, : 576 - 581
  • [33] A DATA-CENTRIC APPROACH FOR INTEGRATED DATA CENTER MANAGEMENT
    Hoover, Christopher
    [J]. PROCEEDINGS OF THE ASME PACIFIC RIM TECHNICAL CONFERENCE AND EXHIBITION ON PACKAGING AND INTEGRATION OF ELECTRONIC AND PHOTONIC SYSTEMS, MEMS AND NEMS 2011, VOL 2, 2012, : 565 - 576
  • [34] DataTweet: An Architecture Enabling Data-Centric IoT Services
    Datta, Soumya Kanti
    Bonnet, Christian
    Da Costa, Rui Pedro Ferreira
    Harri, Jerome
    [J]. 2016 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2016, : 343 - 348
  • [35] DBGlobe: A data-centric approach to global computing
    Karakasidis, A
    Pitoura, E
    [J]. 22ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOP, PROCEEDINGS, 2002, : 735 - 740
  • [36] Pansharpening using data-centric optimization approach
    Devi, Mutum Bidyarani
    Devanathan, R.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (20) : 7784 - 7804
  • [37] A Data-Centric Approach for Image Scene Localization
    Alfarrarjeh, Abdullah
    Kim, Seon Ho
    Rajan, Shivnesh
    Deshmukh, Akshay
    Shahabi, Cyrus
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 594 - 603
  • [38] Infinite Recommendation Networks: A Data-Centric Approach
    Sachdeva, Noveen
    Dhaliwal, Mehak Preet
    Wu, Carole-Jean
    McAuley, Julian
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [39] CCN-TV: a data-centric approach to real-time video services
    Ciancaglini, Vincenzo
    Piro, Giuseppe
    Loti, Riccardo
    Grieco, Luigi Alfredo
    Liquori, Luigi
    [J]. 2013 IEEE 27TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2013, : 982 - 989
  • [40] An Algebraic Approach for Data-Centric Scientific Workflows
    Ogasawara, Eduardo
    Dias, Jonas
    de Oliveira, Daniel
    Porto, Fabio
    Valduriez, Patrick
    Mattoso, Marta
    [J]. PROCEEDINGS OF THE VLDB ENDOWMENT, 2011, 4 (12): : 1328 - 1339