Dynamic computing resource management

1 . A computer system comprising:

a processor; and

a memory coupled to the processor and storing instructions that, when executed by the processor, cause the computer system to:

perform a hierarchal quota enforcement process to confirm acquisition of computing resources, the hierarchal quota process limiting aggregate resource consumption by checking an assigned quota to a user or a node across a plurality of namespaces and being based on a type of computing resource;

acquire, from a cloud-based resource provider, a plurality of computing resources comprising at least one of virtual machine instances or container instances to execute a first workload;

execute the first workload using the plurality of computing resources;

identify a second workload for execution subsequent to the execution of the first workload;

identify a computing resource in the plurality of computing resources common to the first workload and the second workload;

perform a matching strategy for aggregated resource assignment based on workloads in a workload queue to select the identified computing resource;

replace a label associated with the first workload on the identified computing resource with a label associated with the second workload by swapping labels on the identified computing resource to place the second workload on the identified computing resource;

mark resource nodes belonging to the first workload that are not to be re-used by one or more subsequent workloads for deletion;

execute the second workload using the identified computing resource; and

return computing resources corresponding to the resource nodes marked for deletion to the cloud-based resource provider and scale down an aggregated pool of resources based on the resource nodes marked for deletion.

2 . The computer system of claim 1 , wherein acquiring the plurality of computing resources includes adding a label associated with the first workload to each respective resource in the plurality of computing resources.

3 . The computer system of claim 1 , wherein the memory further stores instructions to return resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload subsequent to completion of the execution of the first workload.

4 . The computer system of claim 1 , wherein the memory further stores instructions to detect a failure in the execution of the first workload, and to return computing resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload in response to detecting the execution failure.

5 . The computer system of claim 1 , wherein acquiring the plurality of computing resources includes performing a hierarchal quota enforcement process to confirm the acquisition of each computing resource in the plurality of computing resources.

6 . The computer system of claim 5 , wherein the hierarchal quota enforcement process is based on a type of computing resource for each computing resource in the plurality of computing resources.

7 . The computer system of claim 6 , wherein the type of computing resource is associated with at least one of: a processor, a computing device, a storage medium, a virtual machine, and a software service.

8 . A computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to:

perform a hierarchal quota enforcement process to confirm acquisition of computing resources, the hierarchal quota process limiting aggregate resource consumption by checking an assigned quota to a user or a node across a plurality of namespaces and being based on a type of computing resource;

acquire, from a cloud-based resource provider, a plurality of computing resources comprising at least one of virtual machine instances or container instances to execute a first workload;

execute the first workload using the plurality of computing resources;

identify a second workload for execution subsequent to the execution of the first workload;

identify a computing resource in the plurality of computing resources common to the first workload and the second workload;

perform a matching strategy for aggregated resource assignment based on workloads in a workload queue to select the identified computing resource;

replace a label associated with the first workload on the identified computing resource with a label associated with the second workload by swapping labels on the identified computing resource to place the second workload on the identified computing resource;

mark resource nodes belonging to the first workload that are not to be re-used by one or more subsequent workloads for deletion;

execute the second workload using the identified computing resource; and

return computing resources corresponding to the resource nodes marked for deletion to the cloud-based resource provider and scale down an aggregated pool of resources based on the resource nodes marked for deletion.

9 . The computer-readable medium of claim 8 , wherein acquiring the plurality of computing resources includes adding a label associated with the first workload to each respective computing resource in the plurality of computing resources.

10 . The computer-readable medium of claim 8 , wherein the instructions, when executed by the computer system, further cause the computer system to return computing resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload subsequent to completion of the execution of the first workload.

11 . The computer-readable medium of claim 8 , wherein the instructions, when executed by the computer system, further cause the computer system to detect a failure in the execution of the first workload, and to return computing resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload in response to detecting the execution failure.

12 . The computer-readable medium of claim 8 , wherein acquiring the plurality of computing resources includes performing a hierarchal quota enforcement process to confirm the acquisition of each computing resource in the plurality of computing resources.

13 . The computer-readable medium of claim 12 , wherein the hierarchal quota enforcement process is based on a type of computing resource for each computing resource in the plurality of computing resources.

14 . The computer-readable medium of claim 13 , wherein the type of computing resource is associated with at least one of: a processor, a computing device, a storage medium, a virtual machine, and a software service.

15 . A computer-implemented method comprising:

performing, by a computer system, a hierarchal quota enforcement process to confirm acquisition of computing resources, the hierarchal quota process limiting aggregate resource consumption by checking an assigned quota to a user or a node across a plurality of namespaces and being based on a type of computing resource;

acquiring, by the computer system, from a cloud-based resource provider, a plurality of computing resources comprising at least one of virtual machine instances or container instances to execute a first workload;

executing, by the computer system, the first workload using the plurality of computing resources;

identifying, by the computer system, a second workload for execution subsequent to the execution of the first workload;

identifying, by the computer system, a computing resource in the plurality of computing resources common to the first workload and the second workload;

performing, by the computer system, a matching strategy for aggregated resource assignment based on workloads in a workload queue to select the identified computing resource;

replacing, by the computer system, a label associated with the first workload on the identified computing resource with a label associated with the second workload by swapping labels on the identified computing resource to place the second workload on the identified computing resource;

marking, by the computer system, resource nodes belonging to the first workload that are not to be re-used by one or more subsequent workloads for deletion;

executing, by the computer system, the second workload using the identified computing resource; and

returning, by the computer system, computing resources corresponding to the resource nodes marked for deletion to the cloud-based resource provider and scaling down an aggregated pool of resources based on the resource nodes marked for deletion.

16 . The computer-implemented method of claim 15 , wherein acquiring the plurality of computing resources includes adding a label associated with the first workload to each respective computing resource in the plurality of computing resources.

17 . The computer-implemented method of claim 15 , further comprising returning, by the computer system, computing resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload subsequent to completion of the execution of the first workload.

18 . The computer-implemented method of claim 15 , further comprising detecting, by the computer system, a failure in the execution of the first workload, and returning computing resources from the plurality of computing resources to the cloud-based resource provider that are not used by the second workload in response to detecting the execution failure.

19 . The computer-implemented method of claim 15 , wherein acquiring the plurality of computing resources includes performing a hierarchal quota enforcement process to confirm the acquisition of each computing resource in the plurality of computing resources.

20 . The computer-implemented method of claim 19 , wherein the hierarchal quota enforcement process is based on a type of computing resource for each computing resource in the plurality of computing resources, and wherein the type of computing resource is associated with at least one of: a processor, a computing device, a storage medium, a virtual machine, and a software service.