Reducing resource allocations and application instances in diagonal scaling in a distributed computing environment

A system for reducing resource allocations and application instances in diagonal scaling in a distributed computing environment, the system comprising:

• at least one processor coupled to a memory storing computer readable program instructions that, when executed, cause the at least one processor to:
• track resource consumption of each one of a plurality of application instances;
• compare the tracked resource consumption to a resource allocation of each one of the plurality of application instances;
• compute and apply a plurality of resource reduction operations for allocation of resources assigned to each one of the plurality of application instances;
• identify idle application instances of the plurality of application instances;
• and
• terminate one or more of the identified idle application instances, thereby optimizing application efficiency and resource utilization in the distributed computing environment.

A computer program product for reducing resource allocations and application instances in diagonal scaling in a distributed computing environment, by at least one processor, the computer program product embodied on a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

• an executable portion that tracks resource consumption of each one of a plurality of application instances;
• an executable portion that compares the tracked resource consumption to a resource allocation of each one of the plurality of application instances;
• an executable portion that computes and applies a plurality of resource reduction operations for allocation of resources assigned to each one of the plurality of application instances;
• an executable portion that identifies idle application instances of the plurality of application instances;
• and
• an executable portion that terminates one or more of the identified idle application instances, thereby optimizing application efficiency and resource utilization in the distributed computing environment.