Granted Patent B2

US 12,405,820 · App. 17/708,609 · Granted Sep 2, 2025

Inventors: Sven Sterbling (Böblingen, DE); Joachim Gönnheimer (Walldorf, DE); Thomas Lumpp (Pliezhausen, DE)

Assignee: International Business Machines Corporation

G06F9/4881G06F9/505G06F11/3409G06F11/3414G06F11/3433

Abstract

Claims (54)

1. A system, said system comprising:

a memory; and

a processor in communication with said memory, said processor being configured to perform operations, said operations comprising:

loading environment rules and available workloads;

retrieving workload data for said available workloads, execution environment data of an execution environment, and historic workload data;

selecting a workload for said execution environment from said available workloads;

determining execution settings for said workload, wherein said execution settings include a setting selected from the group consisting of an execution start time, an interval adjustment, and a workload-specific parameter adjustment; and

submitting said workload to an execution queue for execution in said execution environment according to said execution settings.

2. The system of claim 1 , wherein said selecting said workload comprises:

assessing rule filters, historic workload results, environment metrics, and historic metrics.

3. The system of claim 1 , wherein said determining execution settings comprises:

assigning said execution start time for said workload.

4. The system of claim 1 , wherein:

a selection algorithm determines said execution settings for said workload using said workload data, said execution environment data, and said historic workload data.

5. The system of claim 1 , wherein:

said workload data includes workload-specific parameters.

6. The system of claim 1 , wherein:

said execution environment data includes at least one key performance indicator of said execution environment.

7. The system of claim 1 , wherein:

said historic workload data includes historic workload hypothesis results, historic workload key performance indicators, and historic workload metrics.

8. A computer-implemented method, said method comprising:

loading environment rules and available workloads;

retrieving workload data for said available workloads, execution environment data of an execution environment, and historic workload data;

selecting a workload for said execution environment from said available workloads;

determining execution settings for said workload, wherein said execution settings include a setting selected from the group consisting of an execution start time, an interval adjustment, and a workload-specific parameter adjustment; and

submitting said workload to an execution queue for execution in said execution environment according to said execution settings.

9. The computer-implemented method of claim 8 , wherein said selecting said workload comprises:

assessing rule filters, historic workload results, environment metrics, and historic metrics.

10. The computer-implemented method of claim 9 , wherein:

said environment metrics includes environment key performance indicators; and

said historic metrics includes historic key performance indicators.

11. The computer-implemented method of claim 8 , wherein said determining execution settings comprises:

assigning said execution start time for said workload.

12. The computer-implemented method of claim 8 , wherein:

a selection algorithm determines said execution settings for said workload using said workload data, said execution environment data, and said historic workload data.

13. The computer-implemented method of claim 8 , wherein:

said workload data includes workload-specific parameters.

14. The computer-implemented method of claim 8 , wherein:

said execution environment data includes at least one key performance indicator of said execution environment.

15. The computer-implemented method of claim 8 , wherein:

said historic workload data includes historic workload hypothesis results, historic workload key performance indicators, and historic workload metrics.

16. The computer-implemented method of claim 8 , wherein said execution start time is based at least in part on said environment rules.

17. The computer-implemented method of claim 8 , said method further comprising:

adjusting a workload-specific parameter.

18. A computer program product, said computer program product comprising a computer readable storage medium having program instructions embodied therewith, said program instructions executable by a processor to cause said processor to perform a function, said function comprising:

loading environment rules and available workloads;

retrieving workload data for said available workloads, execution environment data of an execution environment, and historic workload data;

selecting a workload for said execution environment from said available workloads;

determining execution settings for said workload, wherein said execution settings include a setting selected from the group consisting of an execution start time, an interval adjustment, and a workload-specific parameter adjustment; and

submitting said workload to an execution queue for execution in said execution environment according to said execution settings.

19. The computer program product of claim 18 , wherein said selecting said workload comprises:

assessing rule filters, historic workload results, environment metrics, and historic metrics.

20. The computer program product of claim 18 , wherein:

a selection algorithm determines said execution settings for said workload using said workload data, said execution environment data, and said historic workload data.

Assignments (1)

Continuity (1)

References Cited (60)