Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Microsoft Corporation

Joshua B Barnard

Lei Li

James Marvin Freeman, Ii

Andrew J Watts

Stephen A Slotnick

Abhishek Dubey

Aaron Michael Bromberg

Richard Judd Winograd

Nush Karmacharya

Peter Wei-Chih Chen

Bryant F Herron-Patmon

Charles Benjamin Franklin Waggoner

Patrik Schnell

Marc Joliveau

Matthew James Bordenet

Vijay Sen

Justin Michael Binns

Lars Christian Ulness

Wesley Shawn Davis

Terje Kristian Backman

Gregory Scott Benjamin

Andrew Ma

Chris Longo

Gurpreet Singh Ahluwalia

Sachin Shah

Prateek Rameshchandra Shah

Cody Wayne Maxwell Powell

Meltem Celikel

Darryl Hudgin

Pankaj Sethi

Srikanth Kiran Kotagiri

James Eric Knowler

Jim Knowler

Nicholas James Benson

Gregory Marshall Burgess

Colin Watson

Sayantan Chakravorty

James Marvin Freeman

Ii James Marvin Freeman

Anddrew J Watts

Yun Jin

Methods and apparatus are described for combining fragments of media content that correspond to multiple quality levels. A particular combination of fragments may be selected for a client device based, at least in part, on feedback received from the client device. In this manner, adaptive bit rate selection can be simulated for a client device that does not support adaptive bit rate selection.

Combining fragments with different encodings

Disclosed are various embodiments for predictive caching of content to facilitate instantaneous use of the content. If a user is likely to commence use of a content item through a client, and if the client has available resources to facilitate instantaneous use, the client is configured to predictively cache the content item before the user commences use. In doing so, the client may obtain metadata for the content item from a server. The client may then initialize various resources to facilitate instantaneous use of the content item by the client based at least in part on the metadata.

Predictive caching for content

Disclosed are various embodiments for predictive caching of content to facilitate use of the content. If account is likely to commence use of a content item, the content item is cached before the use is commenced. The cache may be divided into multiple segments with different content selection criteria.

Segmented predictive caching for content

Disclosed are various embodiments for client-side predictive caching of content to facilitate use of the content. If account is likely to commence use of a content item through a client, the client is configured to predictively cache the content item before the use is commenced. In doing so, the client may obtain an initial portion of the content item from another computing device. The client may then initialize various resources to facilitate use of the content item by the client. The client-side cache may be divided into multiple segments with different content selection criteria.

Client-side predictive caching for content

Techniques are described for facilitating the delivery of digital content using gossip protocols. A group of client devices share information about network conditions in sideband communications using a gossip protocol. Each of the client devices then uses this information to make decisions about how to access content. By providing accurate and current information about network conditions the occurrence of buffering events and/or fatal errors may be significantly reduced or eliminated.

Content delivery using gossip protocols

Disclosed are various embodiments for generating encrypted media content items as well as decrypting encrypted media content items. A content type is embedded in an initialization vector corresponding to an encrypted sample. Upon decryption of encrypted content, the content type is identified and an action taken based upon the detected content type.

Decrypting content protected with initialization vector manipulation

Techniques are described caching media content. The caching can provide the same cached media content to multiple requests based on different protocols.

Caching for multi-protocol media content delivery

A technology for content delivery is provided. In one example, performance of a caching network, performance of a delivery network, and customer demand are modeled. Instructions are provided for a client device on how to request content based on the modeled performance of the caching network, the modeled performance of the delivery network or the modeled customer demand.

Content delivery

Techniques for delivering content are described that vary the bit rate with which the content is delivered to achieve a consistent level of quality from the user's perspective. This is achieved through the use of quality metrics associated with content fragments that guide decision making in selecting from among the different size fragments that are available for a given segment of the content. Fragment selection attempts to optimize quality within one or more constraints.

Delivering media content to achieve a consistent user experience

Protecting content with initialization vector manipulation

Disclosed are various embodiments for client-side predictive caching of content to facilitate instantaneous use of the content. If a user is likely to commence use of a content item through a client, the client is configured to predictively cache the content item before the user commences use. In doing so, the client may obtain metadata for the content item and an initial portion of the content item from another computing device. The client may then initialize various resources to facilitate instantaneous use of the content item by the client based at least in part on the metadata and the initial portion. The client-side cache may be divided into multiple segments with different content selection criteria.

A technology for content delivery is provided. In one example, performance of a caching network, performance of a delivery network, and customer demand are modeled. Instructions are provided for a client device on how to request content based on the modeled performance of the caching network, the modeled performance of the delivery network and the modeled customer demand.

Disclosed are various embodiments for predictive caching of content to facilitate instantaneous use of the content. If a user is likely to commence use of a content item through a client, and if the client has available resources to facilitate instantaneous use, the client is configured to predictively cache the content item before the user commences use. In doing so, the client may obtain metadata for the content item and an initial portion of the content item from a server. The client may then initialize various resources to facilitate instantaneous use of the content item by the client based at least in part on the metadata and the initial portion.

A scheduler for a compute cluster that allocates computing resources to jobs to achieve a balanced distribution. The balanced distribution maximizes the number of executing jobs to provide fast response times for all jobs by, to the extent possible, assigning a designated minimum for each job. If necessary to achieve this minimum distribution, resources in excess of a minimum previously allocated to a job may be de-allocated, if those resources can be used to meet the minimum requirements of other jobs. Resources above those used to meet the minimum requirements of executing jobs are allocated based on a computed desired allocation, which may be developed based on respective job priorities. To meet the desired allocation, resources may be de-allocated from jobs having more than their desired allocation and re-allocated to jobs having less than their desired allocation of resources.

Compute cluster with balanced resources

Growing community of inventors

Seattle, WA, United States of America

Joshua B Barnard