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:
Nov. 29, 2022

Filed:

Aug. 20, 2019
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Mayank Tiwary, Rourkela, IN;

Kirti Sinha, Delhi, IN;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2453 (2019.01); G06F 11/30 (2006.01); G06F 9/455 (2018.01); G06F 16/2458 (2019.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 16/24542 (2019.01); G06F 9/45558 (2013.01); G06F 11/302 (2013.01); G06F 11/3452 (2013.01); G06F 16/2462 (2019.01); G06F 2009/45583 (2013.01);
Abstract

Embodiments allow automated provisioning of a plan upgrade for databases hosted in storage environments. A database is hosted in a shared storage environment according an existing plan, based upon consumption of available system resources (e.g., processing, I/O, memory, disk). An agent periodically issues requests for information relevant to database behavior (e.g., performance metrics, query logs, and/or knob settings). The agent collects the received information (e.g., via a domain socket), performing analysis thereon to predict whether future database activity is expected remain within the existing plan. Such analysis can include but is not limited to compiling statistics, and calculating values such as entropy, information divergence, and/or adjusted settings for database knobs. Based upon this analysis, the agent communicates a recommendation including a plan update and supporting statistics. Embodiments can reduce the effort/cost of the database administrator in having to manually predict future estimated database resource consumption and generate a plan update.


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