Towards AI-Powered Multiple Cloud Management

Beniamino Di Martino; Antonio Esposito; Ernesto Damiani

doi:10.1109/MIC.2018.2883839

Towards AI-Powered Multiple Cloud Management

Beniamino Di Martino, Antonio Esposito, Ernesto Damiani

Electrical Engineering

Second University of Naples

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

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.

Original language	British English
Article number	8662800
Pages (from-to)	64-71
Number of pages	8
Journal	IEEE Internet Computing
Volume	23
Issue number	1
DOIs	https://doi.org/10.1109/MIC.2018.2883839
State	Published - 1 Jan 2019

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10.1109/MIC.2018.2883839

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Towards AI-Powered Multiple Cloud Management

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