Invention Grant
- Patent Title: System and method for dynamically estimating data classification job progress and execution time
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Application No.: US15379863Application Date: 2016-12-15
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Publication No.: US10671578B2Publication Date: 2020-06-02
- Inventor: Sean C. Foley , Shuyan He
- 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: Pepper Hamilton LLP
- Main IPC: G06F16/21
- IPC: G06F16/21 ; G06F16/28 ; G06F11/34

Abstract:
Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement a system for providing classification job estimation for a data security platform comprising one or more data sources, the method comprising: for each of the one or more data sources: counting the number of databases; counting the number of tables in each database; selecting a random database; selecting a random table within the random database; retrieving a database data sample from the random table; measuring one or more latencies associated with issuing and retrieving the database data sample; measuring a processing time required to evaluate the database data sample against one or more policy rules; compiling one or more mean times for the latencies and processing times; and calculating a data source scan time using the one or more mean times and the number of tables in each database; and calculating a total estimation time through summation of each of the one or more data source scan times compiled for each of the one or more data sources.
Public/Granted literature
- US20180173735A1 SYSTEM AND METHOD FOR DYNAMICALLY ESTIMATING DATA CLASSIFICATION JOB PROGRESS AND EXECUTION TIME Public/Granted day:2018-06-21
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