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:
Apr. 28, 2020

Filed:

Oct. 31, 2016
Applicant:

Amazon Technologies, Inc., Reno, NV (US);

Inventors:

Jonathan B. Corley, Seattle, WA (US);

Tal Saraf, Seattle, WA (US);

Bradley E. Marshall, Bainbridge Island, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/08 (2012.01); G06Q 30/06 (2012.01); H04L 29/08 (2006.01); H04L 12/911 (2013.01);
U.S. Cl.
CPC ...
G06Q 30/08 (2013.01); G06Q 30/0611 (2013.01); G06Q 30/0613 (2013.01); H04L 29/08549 (2013.01); H04L 47/82 (2013.01);
Abstract

A transcoding service is described that is capable of utilizing the excess capacity of the computing resources of a service provider. The customer of the transcoding service can submit a bid price for completing the transcodes. As long as the specified price exceeds the fluctuating price of the unused resource instances, the transcoding service will execute the job on the unused instance(s). If the price of the unused resource instances exceeds the customer's bid, the transcoding process stops. The transcoding service may pause the transcoding when the dynamically fluctuating price of the unused resource exceeds the customer's bid and then resume when the price falls back down. Users can specify constraints for transcoding, such as timeframes during which the transcode must be completed, a total price for completing transcoding or priorities of the media files. The system can automatically optimize the utilization of the resource instances according to the constraints.


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