Skip to the content

Challenges to describe QoS requirements for web services quality prediction to support web services interoperability in electronic commerce

Wan Ab Rahman, WN and Meziane, F 2008, 'Challenges to describe QoS requirements for web services quality prediction to support web services interoperability in electronic commerce' , Communications of the IBIMA, 4 (6) , pp. 50-58.

[img]
Preview
PDF (Publisher version)
Download (239kB) | Preview

    Abstract

    Quality of service (QoS) is significant and necessary for web service applications quality assurance. Furthermore, web services quality has contributed to the successful implementation of Electronic Commerce (EC) applications. However, QoS is still the big issue for web services research and remains one of the main research questions that need to be explored. We believe that QoS should not only be measured but should also be predicted during the development and implementation stages. However, there are challenges and constraints to determine and choose QoS requirements for high quality web services. Therefore, this paper highlights the challenges for the QoS requirements prediction as they are not easy to identify. Moreover, there are many different perspectives and purposes of web services, and various prediction techniques to describe QoS requirements. Additionally, the paper introduces a metamodel as a concept of what makes a good web service.

    Item Type: Article
    Additional Information: Proceedings of the 10th IBIMA Conference on Innovation and Knowledge Management in Business Globalization, Kuala Lumpur, Malaysia, 30 June - 2 July 2008
    Uncontrolled Keywords: e-commerce, web service, QoS requirement, QoS metamodel, QoS model
    Themes: Subjects / Themes > H Social Sciences > HF Commerce
    Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Communications of the IBIMA
    Publisher: International Business Information Management Association (IBIMA)
    Refereed: Yes
    ISSN: 19437765
    Related URLs:
    Depositing User: Prof Farid Meziane
    Date Deposited: 02 Mar 2009 14:19
    Last Modified: 20 Aug 2013 16:56
    URI: http://usir.salford.ac.uk/id/eprint/1802

    Actions (login required)

    Edit record (repository staff only)

    No Altmetrics available

    Downloads per month over past year

    View more statistics