Research Output

A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval.

  As cloud services propagate along with the rapid development of cloud computing, issues raised in service selection and retrieval processes become increasingly critical. While many approaches are proposed on the specification and discovery of cloud services, existing service models and recommendation systems cannot achieve ultimate effectiveness while dealing with a variety of cloud services of different categories/levels/characteristics. To this extent, this paper proposes a Cloud Service Explorer (CSE) tool, which takes advantage of a Loosely-Coupled Cloud Service Ontology (LCCSO) model as the knowledge base to assist user-friendly service search and service information access. Demonstrated using a number of real world cloud services and their official service data as examples, it proves that the model and tool are capable of offering an efficient and effortless means of handling diverse service information towards ultimate service discovery and retrieval.

  • Publication Status:

    Published

  • Publisher

    IARIA

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    006 Special Computer Methods

Citation

Fang, D., Liu, X. & Romdhani, I. (2013). A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval. In Zimmerman, W., Lee, Y. W. & Reich, C. (Eds.). Cloud Computing 2014: the Fifth International Conference on Cloud Computing, Grids and Virtualization, 6-11. ISBN 978-1-61208-338-4

Authors

Keywords

Cloud computing; search; retrieval;

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