The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 10, 2023

Filed:

Nov. 29, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Praveen Devarao, Karnataka, IN;

Alok Mitra, Chandauli, IN;

Smitha Pambalath, Bangalore, IN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 16/21 (2019.01);
U.S. Cl.
CPC ...
G06F 16/252 (2019.01); G06F 11/3034 (2013.01); G06F 11/3442 (2013.01); G06F 11/3447 (2013.01); G06F 16/211 (2019.01); G06F 2201/80 (2013.01);
Abstract

A method, system and computer program product for forecasting a storage requirement of a database management system (DBMS). The storage-related operations (e.g., create, delete, update) of the applications connected to the DBMS are monitored. The impact on the storage usage of the DBMS based on these storage-related operations performed by the applications is monitored. Furthermore, the applications are categorized into groups of applications based on the monitored storage-related operations. A mathematical model is then built to forecast the storage requirement of the DBMS based on the monitored impact on the storage usage of the DBMS by the monitored storage-related operations of the applications and the categorization of the applications. The storage requirement of the DBMS is then forecasted based on the built mathematical model. In this manner, the storage requirements of the DBMS may be accurately predicted to ensure that there is available storage thereby preventing performance degradation.


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