An Ontology-based System for Cloud Infrastructure Services' Discovery

被引：41

作者：

Zhang, Miranda ^{[1
,2
]}

Ranjan, Rajiv ^{[1
]}

Haller, Armin ^{[1
]}

Georgakopoulos, Dimitrios ^{[1
]}

Menzel, Michael ^{[3
]}

Nepal, Surya ^{[1
]}

机构：

[1] CSIRO ICT Ctr, Informat Engn Lab, Marsfield, NSW, Australia

[2] Australian Natl Univ, Res Sch Comp Sci, Canberra, ACT, Australia

[3] Karlsruhe Inst Technol, Karlsruhe, Germany

来源：

PROCEEDINGS OF THE 2012 8TH INTERNATIONAL CONFERENCE ON COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING (COLLABORATECOM 2012) | 2012年

关键词：

Cloud computing; service descriptions; semantic Web; recommender system;

D O I：

10.4108/icst.collaboratecom.2012.250650

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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, nonstandardised naming conventions and heterogeneous types and features of Cloud services. In this paper, we present an OWLbased 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 GoG rid.

引用

页码：524 / 530

页数：7

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