Energy efficient scaling of multi-zone container clusters

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• establishing a connection between an upper layer container orchestration controller associated with multiple container cluster zones and lower layer resource manager controllers corresponding to multiple datacenters;
• determining additional workers are needed to perform a task;
• requesting worker offers from the lower layer resource manager controllers by sending signals from the upper layer container orchestration controller;
• receiving the worker offers including worker profile data at the upper layer container orchestration controller;
• utilizing the upper layer container orchestration controller to determine estimated expected utilization and corresponding incremental power consumption for each of the received worker offers;
• utilizing the upper layer container orchestration controller to accept the received worker offer corresponding to a most energy efficient worker;
• and
• adding the most energy efficient worker to a target cluster.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• establishing a connection between an upper layer container orchestration controller associated with multiple container cluster zones and lower layer resource manager controllers corresponding to multiple datacenters;
• determining additional workers are needed to perform a task;
• requesting worker offers from the lower layer resource manager controllers by sending signals from the upper layer container orchestration controller;
• receiving the worker offers including worker profile data at the upper layer container orchestration controller;
• utilizing the upper layer container orchestration controller to determine estimated expected utilization and corresponding incremental power consumption for each of the received worker offers;
• utilizing the upper layer container orchestration controller to accept the received worker offer corresponding to a most energy efficient worker;
• and
• adding the most energy efficient worker to a target cluster.