Cloud users worldwide are looking at the next generation of artificial intelligence (AI) powered cloud management tools to automate cloud performance tuning and anomaly detection. To be effective across clouds, AI tools need a common representation of cloud services and support for machine learning optimization targeting multiple objectives. We put forward the notion that ontology-based models can support both.

Towards AI-Powered Multiple Cloud Management / B.D. Martino, A. Esposito, E. Damiani. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 23:1 (Special Issue)(2019 Feb), pp. 64-71. [10.1109/MIC.2018.2883839]

Towards AI-Powered Multiple Cloud Management

E. Damiani
2019

Abstract

Cloud users worldwide are looking at the next generation of artificial intelligence (AI) powered cloud management tools to automate cloud performance tuning and anomaly detection. To be effective across clouds, AI tools need a common representation of cloud services and support for machine learning optimization targeting multiple objectives. We put forward the notion that ontology-based models can support both.
Cloud computing; Ontologies; Semantics; Computer architecture; OWL; Tools
Settore INF/01 - Informatica
   TrustwOrthy model-awaRE Analytics Data platfORm
   TOREADOR
   EUROPEAN COMMISSION
   H2020
   688797
feb-2019
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/632198
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