发明授权
- 专利标题： Adaptive ensemble workload prediction model based on machine learning algorithms
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申请号： US14741928申请日： 2015-06-17
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公开(公告)号： US10402733B1公开(公告)日： 2019-09-03
- 发明人: Sanping Li , Yu Cao , Shamail Tahir , Kenneth Durazzo
- 申请人： EMC Corporation
- 申请人地址： US MA Hopkinton
- 专利权人： EMC IP Holding Company LLC
- 当前专利权人： EMC IP Holding Company LLC
- 当前专利权人地址： US MA Hopkinton
- 代理机构： Ryan, Mason & Lewis, LLP
- 主分类号： G06N3/08
- IPC分类号： G06N3/08 ; G06N5/04 ; G06N20/00
摘要：
Workload data associated with past execution of an application by a computing system is obtained. Two or more prediction models are trained using the obtained past workload data. A weight is assigned to each of the two or more trained prediction models. The two or more weighted prediction models are combined to form an ensemble prediction model configured to predict, in real-time, workload associated with future execution of the application by the computing system.
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