Google Inc.

Christopher Tate

Michael Jeffrey Procopio

Reuben Kan

Ushasree Kode

John Herndon

Christiaan Prins

Ramesh Nagarajan

Jean Baptiste Maurice Queru

Daniel Reuben Bornstein

Jeffrey Brown

Di Wu

Carl Shapiro

John Herdon

A method for providing restoration of third-party application data to a client device is described herein. The method includes determining whether to provide, to the client device, data associated with a third-party application to be restored at the client device. The data associated with the third-party application includes binary data stored in a first cloud storage location having a storage address, and metadata stored in a second cloud storage location. The method also includes using the metadata to determine the storage address of the first cloud storage location. The method further includes providing the binary data from the first cloud storage location to the client device for restoring the third-party application data.

System and method for automatic cloud-based full-data restore to mobile devices

A method for storing mobile device data to cloud storage includes detecting a predetermined condition to backup data associated with a first mobile device to the cloud storage. Uploading, to a cloud storage server, data associated with the first mobile device including data associated with a plurality of third-party applications stored on the first mobile device and one or more of contacts information stored on the first mobile device, text messages stored on the first mobile device, or contents of a memory card associated with the first mobile device. The data associated with the plurality of third-party applications include binary data and metadata. The method further includes storing the binary data of the plurality of third-party applications at a first cloud storage location and storing the metadata of the plurality of third-party applications to a second cloud storage location that is different from the first cloud storage location.

System and method for automatic cloud-based full-data backup on mobile devices

A method for storing third-party application data to cloud storage is described herein. The method includes determining to upload data associated with a third-party application stored on a client device to a cloud storage server. The data associated with the third-party application includes both binary data and metadata. The method further includes storing the binary data of the third-party application at a first cloud storage location. The first cloud storage location has a storage address and the metadata is updated to include the storage address. The method includes storing the updated metadata to a second cloud storage location different from the first cloud storage location.

System and method for automatic cloud-based full-data backup and restore on mobile devices

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for emulating a mass storage device and a file system of a mass storage device. In a first aspect, a human-portable data processing device that includes one or more data processors that perform operations in accordance with machine-readable instructions, an incoming message classifier configured to classify an incoming read command according to an address of the data requested by the incoming read command, and an emulation data generation component connected to respond to the classification of the incoming read command by the incoming message classifier to generate emulation data emulating that which would have been read by the incoming read command were the human-portable data processing device a mass storage device; and a bus controller configured to respond to the incoming read command with the emulation data generated by the emulation data generation component.

Emulating a peripheral mass storage device with a portable device

Various techniques are described for resource management on a computing platform. A computing platform can receive a query message that specifies an amount of a resource proposed for allocation. The computing platform can select a selected recommendation level from a plurality of recommendation levels, based on an evaluation of a request for the amount of the resource proposed for allocation. The computing platform can generate a resource allocation recommendation that includes the selected recommendation level with respect to the amount of the resource proposed for allocation. The computing platform can send the resource allocation recommendation.

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Berkeley, CA, United States of America

Christopher Tate