- 专利标题: DATA-CENTRIC REDUCTION NETWORK FOR CLUSTER MONITORING
-
申请号: US15720345申请日: 2017-09-29
-
公开(公告)号: US20190102432A1公开(公告)日: 2019-04-04
- 发明人: Eun Kyung Lee , I-Hsin Chung , Yoonho Park
- 申请人: International Business Machines Corporation
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
A data-centric reduction method, system, and computer program product include configuring a similarity threshold and a correlation threshold for an entire data set from at least two back-end nodes, reducing the entire data set to a reduced data set from the at least two back-end nodes sent to a front-end node by removing data based on the similarity threshold and the correlation threshold, and after the front-end receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
公开/授权文献
- US10713257B2 Data-centric reduction network for cluster monitoring 公开/授权日:2020-07-14
信息查询