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:
Aug. 06, 2024

Filed:

Mar. 31, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Disha Mathad, Seattle, WA (US);

Matthys Strydom, Kirkland, WA (US);

Neilen Marais, Cape Town, ZA;

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/455 (2018.01); G06F 9/50 (2006.01); G06F 11/07 (2006.01); G06F 11/14 (2006.01);
U.S. Cl.
CPC ...
G06F 11/1484 (2013.01); G06F 9/45558 (2013.01); G06F 9/505 (2013.01); G06F 9/5072 (2013.01); G06F 9/5077 (2013.01); G06F 11/0712 (2013.01); G06F 2009/4557 (2013.01);
Abstract

Techniques for a service provider network to divide computing resources of availability zones into smaller, isolated partitions (or 'cells'), and manage the placement of virtual computing resources into the cells to reduce overconsumption of computing resources in the cells while ensuring ensure resiliency and availability. As virtual computing resources are launched into cells, or migrated between cells, the service provider network may load balance the virtual computing resources on a per-user basis to ensure resiliency and availability across the cells. Further, the service provider network may monitor the number of mutations (e.g., an operation that affects the state of a virtual computing resource) in each cell, as well as utilization rates of the underlying computing resources, and load balance virtual computing resource to maintain stable mutation rates and reduce over utilization (and/or under-utilization) of computing resources.


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