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

Feng, Xiaoyue; Guo, Chaopeng; Jiao, Tianzhe; Song, Jie

doi:10.1186/s13677-022-00318-1

Journal of Cloud Computing

Advances, Systems and Applications

Table 10 The characteristics of the integrated other three maturity levels and the multi-tenant indicator

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

AI dimension	CNDB dimension: multi-tenant
AI dimension	Level 1	Level 2	Level 3
Smart resource prediction	Database developers plan to apply AI technologies to predict the resource requirements of each tenant.	Database developers have applied AI technologies to predict the resource requirements of each tenant in the separate part of the database.	Database developers have realized smart resource prediction for tenants considering the integration of multiple parts of the database, but it still needs human assistance in making decisions.
Smart resource scheduling	Database developers plan to apply AI technologies to dynamically schedule resources according to the resource requirements of tenants in the application process	Database developers have applied AI technologies to dynamically schedule resources according to the resource requirements of tenants in the separate part of the database.	Database developers have realized smart resource scheduling between tenants considering the integration of multiple parts of the database, but it still needs human assistance in making decisions.
Smart resource control	Database developers plan to apply AI technologies to control the resource usage and consumption of each tenant	Database developers have applied AI technologies to control the resource usage and consumption of each tenant in the separate part of the database	Database developers have realized smart resource control for tenants considering the integration of multiple parts of the database, but it still needs human assistance in making decisions.
Smart resource scaling	Database developers plan to apply AI technologies to help decide when and how to add new resources, and how to expand resources for tenants	Database developers have applied AI technologies to help decide when and how to add new resources for tenants in separate part of the database	Database developers have realized smart resource scaling for tenants considering the integration of multiple parts of the database, but it still needs human assistance in making decisions.

Back to article page