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. 31, 2024

Filed:

Sep. 14, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Abhisek Pan, Bellevue, WA (US);

Eric Zhao Hao, Seattle, WA (US);

Esaias Englebertus Greeff, Redmond, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 47/74 (2022.01); G06F 9/455 (2018.01); H04L 41/0893 (2022.01);
U.S. Cl.
CPC ...
H04L 47/745 (2013.01); G06F 9/45558 (2013.01); H04L 41/0893 (2013.01); G06F 2009/4557 (2013.01); G06F 2009/45595 (2013.01);
Abstract

The present disclosure relates to systems, methods, and computer readable media for reducing placement conflicts between allocation agents tasked with allocating computing resources on a computing zone. For example, systems disclosed herein may identify placement conflicts between multiple allocation agents processing incoming placement requests on a computing zone. The systems disclosed herein may further modify a placement policy based on the number of placement conflicts by reducing one or more restrictions on rules for allocating computing resources. For example, the systems disclosed herein may enlarge a placement zone of server nodes when allocating computing resources to prevent or otherwise reduce conflicts between multiple allocation agents implementing the same placement policies. By reducing allocation restrictions and enlarging a placement zone, the systems described herein may significantly reduce placement conflicts while still optimizing placement of services on nodes of a cloud computing system.


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