Invention Grant
- Patent Title: Data-centric reduction network for cluster monitoring
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Application No.: US15720345Application Date: 2017-09-29
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Publication No.: US10713257B2Publication Date: 2020-07-14
- Inventor: Eun Kyung Lee , I-Hsin Chung , Yoonho Park
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: McGinn IP Law Group, PLLC
- Agent Daniel P. Morris
- Main IPC: G06F16/2455
- IPC: G06F16/2455 ; G06F16/215 ; G06F16/28 ; G06F17/18

Abstract:
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.
Public/Granted literature
- US20190102432A1 DATA-CENTRIC REDUCTION NETWORK FOR CLUSTER MONITORING Public/Granted day:2019-04-04
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