SYSTEMS AND METHODS FOR MODELING A DEPLOYMENT OF HETEROGENEOUS MEMORY ON A SERVER NETWORK

    公开(公告)号:US20240135282A1

    公开(公告)日:2024-04-25

    申请号:US18525580

    申请日:2023-11-30

    Applicant: Lemon Inc.

    CPC classification number: G06Q10/06313 G06Q10/067

    Abstract: A computing system is provided for modeling a deployment of heterogeneous memory on a server network. The computing system receives a user input of parameters including a memory ratio of local memory to heterogeneous memory in each server, a first relative throughput when an entire dataset is in local memory on a server, and a second relative throughput when the entire dataset is in heterogeneous memory on the server. Based on these parameters, the system determines a server ratio of a number of servers in an enhanced cluster with heterogeneous memory to a number of servers in a baseline cluster without heterogeneous memory, where the enhanced cluster and the baseline cluster deliver equivalent data throughput performance. Based on the parameters and the server ratio, a server network design is generated and outputted.

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