Google Inc.

Chris Brian Sosa

Paul Allan Covell

Ryan Tyler Cairns

Jayendran Srinivasan

Sameer Nanda

Darin S Petkov

Methods for returning a computing system to a previous state are provided. In one aspect, a method includes loading a second system state of a second operating system partition, and receiving a request to return to a first system state of a first operating system partition while operating in a second system state of the second operating system partition. The method also includes loading the first system state of the first operating system partition. Systems and machine-readable media are also provided.

User initiated data rollback using operating system partitions

Techniques for determining appropriate locations to update mobile device software to prevent initiation of unwanted software updates are provided. An example method includes identifying one or more wireless access points within wireless connection range of a mobile device, determining whether a wireless access point of the one or more identified wireless access points is included in a list of preferred wireless access points, the list generated with consideration to previous software updates performed via the preferred wireless access points and durations of network connectivity during the previous software updates, scheduling one or more software updates using the wireless access point, when the wireless access point is included in the list of preferred wireless access points, and performing the scheduled software updates upon connection to the wireless access point.

Location-based software updates

Apparatus and methods for gathering and analyzing operating statistics are disclosed. An example method includes automatically scheduling a wake-up event, where occurrence of the wake-up event, initiating, after scheduling the wake-up event, a transition of the computing device from an active power state to a low power state, initiating a transition of the computing device from the low power state to the active power state in response to occurrence of the scheduled wake-up event, gathering a first set of one or more operating statistics in response to the transition from the low power state to the active power state in response to occurrence of the wake-up event and analyzing the first set of one more operating statistics to determine one or more performance attributes of the computing device associated with the transitions between the low power state and the active power state.

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Sunnyvale, CA, United States of America

Chris Brian Sosa