RESOURCE ALLOCATION SYSTEM AND METHOD FOR A CLOUD ENVIRONMENT

    公开(公告)号:US20240364640A1

    公开(公告)日:2024-10-31

    申请号:US18329619

    申请日:2023-06-06

    申请人: WISTRON CORP.

    发明人: YUAN FU HUANG

    IPC分类号: H04L47/70 G06N5/022

    CPC分类号: H04L47/83 G06N5/022

    摘要: A resource allocation method for a cloud environment includes steps performed by one or more servers. These steps include: obtaining an initial resource requirement, generating a first deployment parameter set according to the initial resource requirement by a first prediction model, configuring the cloud environment according to the first deployment parameter set by a resource allocator, obtaining and inputting the requests to a machine learning model in the cloud environment and generating a real resource requirement, generating a predicted resource requirement at least according to the real resource requirement by a second prediction model, when detecting that the cloud environment is in a busy state according to the predicted resource requirement by the resource allocator, generating a second deployment parameter set according to the real resource requirement by the first prediction model; and reconfiguring the cloud environment according to the second deployment parameter set by the resource allocator.

    METHODS AND SYSTEMS FOR THE BATCH DELIVERY OF MATERIAL TO A CONTINUOUS MATERIAL PROCESSOR

    公开(公告)号:US20240362725A1

    公开(公告)日:2024-10-31

    申请号:US18764554

    申请日:2024-07-05

    摘要: Methods and systems of directing the movement of a plurality of batch delivery systems between a loading area and a continuous material processor determine a location of each of at least two of the plurality of batch delivery systems; determine a state of each of the located batch delivery systems; predict an estimated time of arrival at the continuous material processor of a loaded batch delivery system in transit from the loading area to the continuous material processor; predict a number of loaded batch delivery systems that will be located at the continuous material processor at a future time; estimate an idle time for the predicted number of loaded batch delivery systems at the continuous material processor; predict a time when the continuous material processor will be in a No-Material state; and direct the movement of at least one of the plurality of batch delivery systems to minimize at least one of the estimated idle time and the time when the continuous material processor will be in the No-Material state.