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:
Jan. 05, 2021

Filed:

Dec. 13, 2018
Applicant:

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

Inventors:

Marc John Brooker, Seattle, WA (US);

Philip Daniel Piwonka, Seattle, WA (US);

Niall Mullen, Seattle, WA (US);

Mikhail Danilov, Sammamish, WA (US);

Holly Mesrobian, Bellevue, WA (US);

Timothy Allen Wagner, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 8/75 (2018.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06F 9/505 (2013.01); G06F 8/75 (2013.01); G06F 9/45533 (2013.01); G06F 9/5044 (2013.01); G06F 9/5055 (2013.01); G06F 9/5077 (2013.01); G06F 9/5088 (2013.01); G06F 2009/4557 (2013.01);
Abstract

Systems and methods are described for providing performance-based hardware emulation in an on-demand network code execution system. A user may generate a task on the system by submitting code. The system may determine, based on the code or its execution, that the code executes more efficiently if certain functionality is available, such as an extension to a processor's instruction set. The system may further determine that it can provide the needed functionality using various computing resources, which may include physical hardware, emulated hardware (e.g., a virtual machine), or combinations thereof. The system may then determine and provide a set of computing resources to use when executing the user-submitted code, which may be based on factors such as availability, cost, estimated performance, desired performance, or other criteria. The system may also migrate code from one set of computing resources to another, and may analyze demand and project future computing resource needs.


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