Invention Grant
- Patent Title: Object count prediction using distributed processing
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Application No.: US15792178Application Date: 2017-10-24
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Publication No.: US11017303B2Publication Date: 2021-05-25
- Inventor: Adison H. Wongkar , Padmanabhan Natarajan , Jeevan Gheevarghese Joseph , Kendra Mariko Chen , Vernon W. Hui
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F17/11 ; G06F16/901 ; G06Q30/02 ; G06N7/00

Abstract:
Techniques are provided for accurately and quickly processing distributed stored objects to provide a timely and accurate prediction of the number of live objects a parameterized file request will produce. Stored objects representing previous user webpage visit interactions are stored in different storage locations in a data store. The stored objects at each storage location are processed in parallel by hashing stored objects with a hash function such that they are spread somewhat uniformly into buckets. Sub-buckets in each bucket are formed that correspond to selected category identifiers. Also in parallel, K-minimum values are computed for each sub-bucket to estimate the count of stored objects in the data store. The K-minimum values for sub-buckets corresponding to the same category ID across all buckets are combined, in some cases harmonically, and used to generate a predicted number of live objects responsive to a parameterized file request.
Public/Granted literature
- US20180322401A1 OBJECT COUNT PREDICTION USING DISTRIBUTED PROCESSING Public/Granted day:2018-11-08
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