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:
Dec. 15, 2020

Filed:

Apr. 02, 2019
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Pritish Mishra, Bangalore, IN;

Mayank Tiwary, Rourkela, IN;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); H04L 12/24 (2006.01); H04L 12/26 (2006.01); G06F 9/50 (2006.01); G06F 11/30 (2006.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
H04L 41/147 (2013.01); G06F 9/45558 (2013.01); G06F 9/505 (2013.01); G06F 9/5077 (2013.01); G06F 11/3006 (2013.01); H04L 41/142 (2013.01); H04L 41/5019 (2013.01); H04L 43/062 (2013.01); H04L 43/067 (2013.01); H04L 43/0817 (2013.01); G06F 2009/4557 (2013.01);
Abstract

Some embodiments are associated with systems and methods to provide effective cloud-resource scaling (e.g., for virtual machines and containers). A data center computing system may collect programmable-network real-time traffic statistics associated with enterprise resource planning users. A network and enterprise resource planning load for the enterprise resource planning users may then be predicted (e.g., using a mathematical regression approach) based on an analysis of past programmable-network real-time traffic statistics and current enterprise resource planning user activity. According to some embodiments, the analysis includes time-domain network traffic clustering based on a pre-processing query level categorization. The data center computing system may then dynamically allocate network resources for the enterprise resource planning users based on the predicted network and enterprise resource planning load.


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