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:
Mar. 21, 2023

Filed:

Dec. 23, 2020
Applicant:

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

Inventors:

Swaminathan Sivasubramanian, Seattle, WA (US);

Stefano Stefani, Issaquah, WA (US);

Wei Xiao, Kirkland, WA (US);

Timothy Andrew Rath, Seattle, WA (US);

Rande A. Blackman, Seattle, WA (US);

Grant Alexander MacDonald McAlister, Seattle, WA (US);

Raymond S. Bradford, Seattle, WA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 12/00 (2006.01); G06F 13/00 (2006.01); G06F 3/06 (2006.01); H04L 67/1097 (2022.01);
U.S. Cl.
CPC ...
G06F 3/0613 (2013.01); G06F 3/0631 (2013.01); G06F 3/0683 (2013.01); G06F 3/0608 (2013.01); H04L 67/1097 (2013.01);
Abstract

A system that implements a scaleable data storage service may maintain tables in a data store on behalf of storage service clients. The service may maintain data in partitions stored on respective computing nodes in the system. The service may support multiple throughput models, including a committed throughput model and a best effort throughput model. A service request to create a table may specify that requests directed to the table should be serviced under a committed throughput model and may specify the committed throughput level in terms of logical service request units. The service may reserve low-latency storage and other resources sufficient to meet the specified committed throughput level. A client/user may request a modification to the committed throughput level in anticipation of workload changes, such as an increase or decrease in traffic or data volume. In response, the system may increase or decrease the resources reserved for the table.


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