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Advances, Systems and Applications

Table 9 Characteristics of the integrated maturity levels and AI indicators

From: A maturity model for AI-empowered cloud-native databases: from the perspective of resource management

AI dimension

Level 1

Level 2

Level 3

Level 4

Smart resource prediction

Make plans to apply AI technologies in resource prediction

Apply AI technologies to predict resource consumption for the separate part of the database

Predict resource consumption semi-automatically considering multiple parts of the database,

Predict resource consumption automatically considering all parts of the database

Smart resource scheduling

Make plans to apply AI technologies in resource scheduling

Apply AI technologies to schedule resource for the separate part of the database

Schedule resources semi- automatically between multiple parts of the database

Schedule resources automatically between all parts of the database

Smart resource control

Make plans to apply AI technologies in resource control

Apply AI technologies to realize resource control for the separate part of the database

Realize semi-automatic resource control considering multiple parts of the database

Realize automatic resource control considering all parts of the database

Smart resource scaling

Make plans to apply AI technologies in resource scaling

Apply AI technologies to scale resources for the separate part of the database

Scale resources semi-automatically considering multiple parts of the database

Scale resources automatically considering all parts of the database