TY - GEN
T1 - An ontology-based system for Cloud infrastructure services' discovery
AU - Zhang, Miranda
AU - Ranjan, Rajiv
AU - Haller, Armin
AU - Georgakopoulos, Dimitrios
AU - Menzel, Michael
AU - Nepal, Surya
PY - 2012
Y1 - 2012
N2 - The Cloud infrastructure services landscape advances steadily leaving users in the agony of choice. As a result, Cloud service identification and discovery remains a hard problem due to different service descriptions, non-standardised naming conventions and heterogeneous types and features of Cloud services. In this paper, we present an OWL-based ontology, the Cloud Computing Ontology (CoCoOn) that defines functional and non-functional concepts, attributes and relations of infrastructure services. We also present a system, CloudRecommender-that implements our domain ontology in a relational model. The system uses regular expressions and SQL for matching user requests to service descriptions. We briefly describe the architecture of the CloudRecommender system, and demonstrate its effectiveness and scalability through a service configuration selection experiment based on a set of prominent Cloud providers' descriptions including Amazon, Azure, and GoGrid.
AB - The Cloud infrastructure services landscape advances steadily leaving users in the agony of choice. As a result, Cloud service identification and discovery remains a hard problem due to different service descriptions, non-standardised naming conventions and heterogeneous types and features of Cloud services. In this paper, we present an OWL-based ontology, the Cloud Computing Ontology (CoCoOn) that defines functional and non-functional concepts, attributes and relations of infrastructure services. We also present a system, CloudRecommender-that implements our domain ontology in a relational model. The system uses regular expressions and SQL for matching user requests to service descriptions. We briefly describe the architecture of the CloudRecommender system, and demonstrate its effectiveness and scalability through a service configuration selection experiment based on a set of prominent Cloud providers' descriptions including Amazon, Azure, and GoGrid.
KW - Cloud computing
KW - recommender system
KW - semantic Web
KW - service descriptions
UR - http://www.scopus.com/inward/record.url?scp=84874410924&partnerID=8YFLogxK
U2 - 10.410S/icst.collaboratecom.2012.250650
DO - 10.410S/icst.collaboratecom.2012.250650
M3 - Conference contribution
SN - 9781936968367
T3 - CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing
SP - 524
EP - 530
BT - CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing
T2 - 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2012
Y2 - 14 October 2012 through 17 October 2012
ER -