Data-centric reduction network for cluster monitoring
AssigneeInternational Business Machines Corporation
InventorsEun Kyung Lee, I-Hsin Chung, Yoonho Park
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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.
Claims20
A computer-implemented data-centric reduction method, the method comprising:
- 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 node receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
A computer program product for data-centric reduction, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:
- 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 node receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
A data-centric reduction system, said system comprising:
- a processor;
- and
- a memory, the memory storing instructions to cause the processor to perform:
- 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 node receives the reduced data set, reconstructing the entire data set from the reduced data set using the similarity threshold and correlation threshold.
Dependencies are inferred from the claim text.