US 2020/0287961 A1 · BALANCING RESOURCES IN DISTRIBUTED COMPUTING ENVIRONMENTS

Abstract

In various implementations, methods and systems resource balancing in a distributed computing environment are provided. A client defined resource metric is received that represents a resource of nodes of the cloud computing platform. A placement plan for job instances of service applications is generated. The placement plan includes one or more movements that are executable to achieve a target placement of the job instances on the nodes. It is determined that the placement plan complies with placement rules. Each placement rule dictates whether a given job instance of the job instances is suitable for placement on a given node of the nodes. The placement plan is executed based on determining that the target placement of the job instances improves balance of resources across the nodes of the cloud computing platform based on the resource represented by the client defined resource metric.

Claims20

Dependent claims

A computerized system comprising:

one or more computer processors;
and
computer memory storing computer-useable instructions that, when used by the one or more computer processors, cause the one or more computer processors to perform operations comprising:
generating a plurality of placement plans, wherein placement plans define one or more movements of a plurality of job instances to node locations identified in corresponding placement plans;
comparing a first placement plan to a second placement plan using a multi-factor score, wherein the multi-factor score is defined based on at least one of the following:
a cost factor and a resource balance factor;
based on comparing the first placement plan to the second placement plan, selecting the first placement plan;
and
executing the first placement plan.

6 more elements

A computer-implemented method, the method comprising:

generating a plurality of placement plans, wherein placement plans define one or more movements of a plurality of job instances to node locations identified in corresponding placement plans;
comparing a first placement plan to a second placement plan using a multi-factor score, wherein the multi-factor score is defined based on at least one of the following:
a cost factor and a resource balance factor;
based on comparing the first placement plan to the second placement plan, selecting the first placement plan;
and
executing the first placement plan.

3 more elements

Dependencies are inferred from the claim text.

Balancing resources in distributed computing environments

Life of this patent

Balancing resources in distributed computing environments

Life of this patent

Abstract

Claims20