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

Fang, Daren; Liu, Xiaodong; Romdhani, Imed


Daren Fang


Wolf Zimmerman

Yong Woo Lee

Christoph Reich


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.

Conference Name Fifth International Conference on Cloud Computing, GRIDs, and Virtualization
Start Date May 25, 2015
End Date May 29, 2015
Acceptance Date May 25, 2015
Publication Date May 25, 2015
Deposit Date Apr 24, 2014
Publisher International Academy, Research, and Industry Association
Peer Reviewed Peer Reviewed
Pages 6-11
Series ISSN 2308-4294
Book Title Cloud Computing 2014: the Fifth International Conference on Cloud Computing, Grids and Virtualization
ISBN 9781612083384
Keywords Cloud computing; search; retrieval;
Public URL