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公开(公告)号：US12093530B2
公开(公告)日：2024-09-17
申请号：US17303883
申请日：2021-06-09
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N Rao , Prasenjit Saha , Jharna Aggarwal
CPC分类号： G06F3/0613 , G06F3/0659 , G06F3/067 , G06N20/00
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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公开(公告)号：US20240319885A1
公开(公告)日：2024-09-26
申请号：US18677326
申请日：2024-05-29
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N. Rao , Prasenjit Saha , Jharna Aggarwal
CPC分类号： G06F3/0613 , G06F3/0659 , G06F3/067 , G06N20/00
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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公开(公告)号：US20220398021A1
公开(公告)日：2022-12-15
申请号：US17303883
申请日：2021-06-09
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N. Rao , Prasenjit Saha , Jharna Aggarwal
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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