- 专利标题： Deep learning application distribution
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申请号： US15374599申请日： 2016-12-09
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公开(公告)号： US10783436B2公开(公告)日： 2020-09-22
- 发明人: Joseph T. Friel , Andre Surcouf , Hugo Mike Latapie , Enzo Fenoglio , Pascal Thubert
- 申请人： Cisco Technology, Inc.
- 申请人地址： US CA San Jose
- 专利权人： Cisco Technology, Inc.
- 当前专利权人： Cisco Technology, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Behmke Innovation Group LLC
- 代理商 James M. Behmke; James J. Wong
- 主分类号： G06N3/08
- IPC分类号： G06N3/08 ; G06N3/04 ; G06N3/02 ; G06F9/46
摘要：
In one embodiment, a method includes training a deep neural network using a first set of network characteristics corresponding to a first time and a second set of network characteristics corresponding to a second time, generating, using the deep neural network, a predictive set of network characteristics corresponding to a future time, and assigning a task of a distributed application to a processing unit based on the predictive set of network characteristics.
公开/授权文献
- US20180165579A1 Deep Learning Application Distribution 公开/授权日：2018-06-14
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