Amazon Technologies, Inc.

Aaron Michael Bromberg

James Marvin Freeman, Ii

Joshua B Barnard

Andrew J Watts

Abhishek Dubey

Stephen A Slotnick

Richard Judd Winograd

Nush Karmacharya

Peter Wei-Chih Chen

Bryant F Herron-Patmon

Lei Li

Vijay Sen

Gregory Scott Benjamin

Andrew Ma

Gurpreet Singh Ahluwalia

Sachin Shah

Prateek Rameshchandra Shah

Cody Wayne Maxwell Powell

Meltem Celikel

Darryl Hudgin

Mark Sander Urbanus

Robert Joseph Suk

Venkata Suri Maddhula

Karl Jonsson

Justin Michael Harrison

James Marvin Freeman

Ii James Marvin Freeman

Anddrew J Watts

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

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.

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 processing device determines a usage schedule for a mobile device based on one or more first criteria, the usage schedule comprising a scheduled active period of the mobile device and a scheduled inactive period of the mobile device. The processing device identifies an additional active period for the mobile device that is based on one or more second criteria. The processing device causes the mobile device to transition into a low power state during the scheduled inactive period and to transition out of the low power state during the additional active period prior to the scheduled active period, wherein the mobile device will perform a scheduled operation during the additional active period and prior to the scheduled active period.

Injecting active periods into scheduled inactive periods

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Mountain View, CA, United States of America

Aaron Michael Bromberg