TRANSFERABLE CLUSTERING OF CONTEXTUAL BANDITS FOR CLOUD SERVICE RESOURCE ALLOCATION

    公开(公告)号:US20250007858A1

    公开(公告)日:2025-01-02

    申请号:US18342516

    申请日:2023-06-27

    Applicant: ADOBE INC.

    Abstract: Methods for determining optimal cloud service resource include determining a reward function for a set of resource configurations identifying cloud service resource parameters. The cloud service resource parameters include a source parameter and a target parameter of services to provide a client computing device. A source parameter dataset for the source parameter and a target parameter dataset is generated using the reward function and historical source parameter data. The matrices are then subject to SVD and clustering. A target parameter reward dataset is learned from output of the SVD and clustering. The target parameter dataset is used to determine the parameters for the target parameter for providing corresponding cloud service resources.

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