Modeling Storage System Performance for Data Management in Cloud Environment using Ontology

The progress made in the field of Cloud computing and the continuously growing users demand for services with guaranteed storage performance parameters bring new challenges. The storage system monitoring, resource scheduling and performance prediction are essential for successful operation of the given distributed environment and for fulfillment of the Service Level Agreement. Taking into account the heterogeneity of storage resources in distributed environments it is essential to provide a transparency of monitored storage system performance parameters. In this paper we present a common storage system model regarding Quality of Service requirements and dynamics of performance parameters. We also present the process of the storage ontology development based on this model, and we show an use-case of the proposed ontology in a storage monitoring service.