Cloud Service Description Ontology: Construction, Evaluation and Querying

Tracking #: 1654-2866

This paper is currently under review
Authors: 
Khouloud Boukadi
Molka Rekik
Hanêne Ben-Abdallah1
Walid Gaaloul

Responsible editor: 
Freddy Lecue

Submission type: 
Full Paper
Abstract: 
Cloud federation systems have recently emerged as a scalable delivery model that interconnects services from several cloud providers for load balancing and accommodating spikes in demand. Among the challenges that this delivery model faces is the complexity of service selection, which is due to the heterogene- ity of cloud service descriptions across the federation. To ease this complexity, it is crucial to harmonize cloud service descriptions. Towards this end, we herein propose a Cloud Service description Ontology (CSO) that we modeled based cloud standards. CSO covers functional and non-functional capabilities of the three main cloud provision models (IaaS, PaaS, SaaS). To populate CSO, we de- ned a set of semantic mapping rules to collect instances from cloud providers' web pages. In addition, to insure the quality of CSO, we propose an evaluation approach that detects and corrects consistency, redundancy and incompleteness errors. Furthermore, to show the correctness and the inference power of CSO, we present the results of an experimental evaluation that measured the precision and recall ratios of CSO query results.
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