公开(公告)号：US11716384B2

公开(公告)日：2023-08-01

申请号：US17302585

申请日：2021-05-06

Applicant: Huawei Technologies Co., Ltd.

Inventor： Sharanyan Srikanthan ,  Zongfang Lin ,  Chen Tian ,  Ziang Hu

IPC: H04L67/1097 ,  H04L67/00 ,  H04L67/50

CPC classification number: H04L67/1097 ,  H04L67/34 ,  H04L67/535

Abstract: A method of distributed resource management in a distributed computing system includes determining usage of respective hardware resources by an application and generating usage metrics for the application, and assigning the application to a cluster of hardware resources to optimize diversity of usage of hardware resources in the cluster and to enhance utilization of the hardware resources by applications running in that cluster. The diversity of usage of the hardware resources is determined from respective usage metrics of the respective applications running in that cluster. The diversity of usage of the hardware resources in the cluster is optimized by assigning the application to a diversity pool of hardware resources adapted to minimize interference when applications assigned to the diversity pool of hardware resources access the hardware resources in the diversity pool and assigning applications from different diversity pools to the cluster of hardware resources.

公开(公告)号：US20210273996A1

公开(公告)日：2021-09-02

申请号：US17302585

申请日：2021-05-06

Applicant: Huawei Technologies Co., Ltd.

Inventor： Sharanyan Srikanthan ,  Zongfang Lin ,  Chen Tian ,  Ziang Hu

IPC: H04L29/08

Abstract: A method of distributed resource management in a distributed computing system includes determining usage of respective hardware resources by an application and generating usage metrics for the application, and assigning the application to a cluster of hardware resources to optimize diversity of usage of hardware resources in the cluster and to enhance utilization of the hardware resources by applications running in that cluster. The diversity of usage of the hardware resources is determined from respective usage metrics of the respective applications running in that cluster. The diversity of usage of the hardware resources in the cluster is optimized by assigning the application to a diversity pool of hardware resources adapted to minimize interference when applications assigned to the diversity pool of hardware resources access the hardware resources in the diversity pool and assigning applications from different diversity pools to the cluster of hardware resources.