Abstract
Management of block storage virtualization systems in large environments can become very complex. For standard management tasks, such as the creation and maintenance of disk arrays, and problem isolation, specialized storage management tools are used. Such tools must query the storage virtualization system for topologies and performance statistics, correlating this information with external sources and defined policies, and providing an interface for the storage administrators. By using ontologies as information models in a storage management tool, correlation of elements, aggregation and querying becomes a lot more flexible and configurable. In this paper we present an ontology-based architecture that serves as backend for a storage management tool. We describe the approach and performance optimizations and give an evaluation of the prototypical implementation.
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Acknowledgements
This project (HA project no. 338/13-22) is funded in the framework of Hessen ModellProjekte, financed with funds of LOEWE – Landes-Offensive zur Entwicklung Wissenschaftlich-Oekonomischer Exzellenz, Foerderlinie 3: KMU-Verbundvorhaben (State Campaign for the Development of Scientific and Economic Excellence).
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Textor, A., Sikora, T. (2015). An Ontology-Based Architecture for Storage Management. In: Cuel, R., Young, R. (eds) Formal Ontologies Meet Industry. FOMI 2015. Lecture Notes in Business Information Processing, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-21545-7_6
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DOI: https://doi.org/10.1007/978-3-319-21545-7_6
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