APPROACHES TO OPTIMIZING COMPUTE RESOURCE ALLOCATION FOR HEAVY WORKLOADS IN ELASTIC ENVIRONMENTS AND CLOUD DATA PLATFORM FOR IMPLEMENTING THE SAME

    公开(公告)号:US20240378088A1

    公开(公告)日:2024-11-14

    申请号:US18450221

    申请日:2023-08-15

    Applicant: Cloudera, Inc.

    Abstract: Introduced here is a resource management platform (also called a “resource manager”) that is able to dynamically allocate compute resources to workloads to accommodate resource requirements of a tenant in a more efficient and cost-effective manner, especially in scenarios where compute resource availability is elastic in nature. The resource manager can include a scheduling engine and a recommending engine that together are able to optimize the scaling up and down of compute resources in different scenarios. Normally, the resource manager can communicate with a resource-aware, external entity that may be responsible for implementing appropriate changes on a cloud infrastructure. For example, the external entity may be responsible for adding or removing nodes assigned to a given tenant, as well as obtaining relevant attributes of those compute resources from a provider of the cloud infrastructure.

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