Multi objective optimization of applications

A computer program product to orchestrate a multi objective optimization of cloud applications, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a processor to:

• receive a set of two or more key performance indicators (KPIs) associated with an application, each KPI in the set of KPIs associated with a KPI value;
• leverage a machine learning (ML) based surrogate function learning model in combination with an acquisition function to conduct an adaptive trial execution of the application with one or more received parameters associated with one or more topological constraints, wherein the one or more topological constraints include a hierarchical arrangement of micro-services;
• observe output from each trial execution and compute a pareto surface of the observed output;
• explore the computed pareto surface and select an optimal application operating point corresponding to configuration of the one or more parameters;
• and
• execute the application at the selected optimal operating point.

A computer implemented method comprising:

• receiving a set of two or more key performance indicators (KPIs) associated with an application, each KPI in the set of KPIs associated with a KPI value;
• leveraging a machine learning (ML) based surrogate function learning model in combination with an acquisition function to conduct an adaptive trial execution of the application with one or more received parameters associated with one or more topological constraints, wherein the one or more topological constraints include a hierarchical arrangement of micro-services;
• observing output from each trial execution and computing a pareto surface of the observed output;
• exploring the computed pareto surface and selecting an optimal application operating point corresponding to configuration of the one or more parameters;
• and
• executing the application at the selected optimal operating point.