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US 2014/0280075 A1Published application
Multidimension clusters for data partitioning
AssigneeHewlett-Packard Development Company, L.P.
InventorsWei Huang, Yizheng Zhou
Life of this patent
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Abstract
A data storage system includes a partitioning module to partition data across multiple dimensions simultaneously. The partitioning may be based on a sizing parameter for each dimension. The partitioning module stores a cluster including the partitioned event data and metadata including attributes identifying the cluster.
Claims15
A data storage system comprising:
- a partitioning module executed by at least one processor to determine a plurality of dimensions, partition event data across the plurality of dimensions simultaneously based on a sizing parameter for each dimension, and store a cluster including the partitioned event data and metadata including attributes identifying the cluster from a plurality of stored clusters.
A security information and event management system comprising:
- a partitioning module executed by at least one processor to determine a plurality of dimensions, partition event data across the plurality of dimensions simultaneously based on a sizing parameter for each dimension, and store a cluster including the partitioned event data;
- a data storage device to store a plurality of clusters and metadata for each cluster, wherein the metadata for each cluster includes attributes identifying the cluster from other stored clusters;
- a query manager to receive a query, identify a cluster from the metadata for the plurality of stored clusters that includes data relevant to the query, and execute the query on the identified cluster;
- and
- an event processing engine to correlate query results from the executed query in accordance with rules, instructions or requests to identify network security threats.
2 more elements
A non-volatile computer readable medium including machine readable instructions executable by at least one processor to:
- determine a plurality of dimensions;
- partition event data across the plurality of dimensions simultaneously based on a sizing parameter for each dimension;
- and
- store a cluster including the partitioned event data and metadata including attributes identifying the cluster from a plurality of stored clusters.
1 more element
Dependencies are inferred from the claim text.