Abstract: In some examples, a second mobile device may receive, from a first mobile device, via a short-range radio connection with the first mobile device, at least a portion of application information for an application. For example, the application information may include saved application state information saved by the first mobile device. The second mobile device may install the application on the second mobile device, and the second mobile device may configure a state of the application on the second mobile device based on the saved application state information received from the first mobile device.

Abstract: Techniques introduced here enable cloud-based file prefetching on electronic devices. The electronic devices store certain files on a remote storage server and preload some of the files locally to include file access efficiency. File access patterns on the electronic devices are analyzed collectively and efficiently using a cloud service to detect global access patterns and help determine which files to preload on each of the electronic devices.

Abstract: Some examples include backing up and restoring an application state across multiple devices. For example, an instance of a computer application may be executed at a first electronic device and a backup event that occurs in the first electronic device may be determined. The backup event may suggest a backup of application state data and the application state data may represent an application state of the computer application at the backup event. The application state data of the computer application is transmitted to a remote storage service in response to the backup event. A second electronic device can retrieve the application state data from the remote storage service and restore the application state.

Abstract: Some examples include optimizing system performance by generating a version vector that includes a plurality of attributes associated with a computing device. For instance, the plurality of attributes associated with the computing device may include a device type of the computing device. The plurality of attributes from the version vector may be analyzed to determine a usage pattern of a user of the computing device. In addition, a configuration of the computing device may be adjusted based on the usage pattern. In some cases, adjusting of the configuration of the computing device may include adjusting, based on the usage pattern, one or more of a power consumption of the computing device or a CPU running time of the computing device.

Abstract: The subject disclosure relates to systems and methods for casting an application from a source device to a destination device. In particular, a process can include steps for causing a source application executing as a foreground process in an operating system of a source computing device to store state data, transmitting the state data of the source application to a set of destination computing devices, and transmitting a cast command to the destination computing device, where the cast command is configured to instruct the destination computing device to execute the source application on the destination computing device using the state data.

Abstract: Some examples include detecting that a source computing device is in proximity to a target computing device. For instance, a user credential of the source computing device may be received from the source computing device. Further, a copy of system data of the source computing device may be retrieved from a cloud storage service. A system state of the source computing device may be restored on the target computing device by using the user credential received from the source computing device and the copy of the system data of the source computing device retrieved from the cloud storage. In some cases, the user credential may expire on the target computing device after a predetermined system event in the target computing device.

Abstract: In some examples, access data for one or more gaming applications accessed by the client device is tracked and the access data for the one or more gaming applications may be sent to a server. A prefetching profile may be received from the server. The prefetching profile may specify a plurality of likelihood values for a plurality of gaming data files that are likely to be accessed by the client device within a specific timeframe. A set of gaming data files may be prefetched from an external source based on the prefetching profile. For example, the set of gaming data files may be selected from the plurality of gaming data files based on the prefetching profile.

Abstract: Some examples include backing up and restoring a game application state across multiple devices. A distributed system may run an instance of a game application at a first electronic device, determine a backup event that occurs in the first electronic device, wherein the backup event suggests a backup of application state data and the application state data represent an application state of the game application at the backup event, and transmit the application state data of the game application to a remote storage service in response to the backup event. A second electronic device may retrieve the application state data from the remote storage service and restore the game application state.

Abstract: Some examples include determining, by one or more processors, that both a first electronic device and a second electronic device are to be accessible at least in part during an event. Further, the one or more processors may determine user data stored on the first electronic device, the second electronic device, and a network storage. In addition, the one or more processors may determine, based at least in part on the user data stored on, or to be stored on, the second electronic device prior to the event, user data to download to the first electronic device from the network storage prior to the event.

Abstract: Technology disclosed herein includes a method for system restoration between computing devices by a tapping mechanism. A first device detects (e.g., via NFC) a second device in proximity. The first device transmits a user credential of the first device to the second device. Either directly or via a cloud storage service, the first device instructs the second device to download a copy of system data of the first device from the cloud storage service, instead of from the first device. The second device is able to restore a system state of the first device on the second device, using the user credential and the system data.

Abstract: Techniques introduced here enable cloud-based file prefetching for gaming applications running on electronic devices. The electronic devices store certain gaming data files on a remote storage server and preload some of the files locally to include file access efficiency. Gaming data file access patterns on the electronic devices are analyzed, individually and collectively, using a cloud service to detect global access patterns and help determine which gaming data files to preload on each of the electronic devices.

Abstract: Some examples include caching data among multiple interconnected computing devices. As one example, a storage server may transmit a first data set to a first computing device, and may identifying a second computing device from a plurality of computing devices sharing a local area network with the first computing device. For instance, the second computing device may be selected from the plurality of computing devices based on battery levels of the plurality of computing devices. The storage server may identify a second data set as relevant to the first data set and may transmit the identified second data set to the second computing device. Additionally, the storage server may transmit an instruction to the first computing device indicating that the second computing device stores a data cache for the first computing device.

Abstract: In some examples, a second mobile device may receive, from a first mobile device, via a short-range radio connection with the first mobile device, at least a portion of application information for an application. For example, the application information may include saved application state information saved by the first mobile device. The second mobile device may install the application on the second mobile device, and the second mobile device may configure a state of the application on the second mobile device based on the saved application state information received from the first mobile device.

Abstract: Some examples include determining an upcoming event involving an electronic device, such as the device being out of communication with a network, the device running out of local storage space, or the like. The device may determine, based at least in part on an event category of the upcoming event and/or other considerations, first pieces of user data stored at a network storage to download to the device prior to the event. Further, the device may determine second pieces of user data to delete from a local storage of the device to make space available in the local storage for the first pieces of user data that are recommended to be downloaded for the event. In some cases, the device may present, in one or more GUIs, a ranked list of user data recommended for download, and another ranked list of user data recommended for deletion.

Abstract: Some examples include performing a priority synchronization of a computing device to download a selected set of data files to the computing device from a distributed backup system. Data files are downloaded to a computing device by synchronizing with a server of the distributed backup system. A priority sync downloads a subset of the data files as priority files, rather than all of the data files of the user, thereby minimizing the computing resources consumed to download the data files. The priority sync can select the priority files based on various criteria, including an access pattern of the data files, attributes of the data files, or attributes of the computing device. The priority sync may also download non-priority files. The priority files may be downloaded in their original format and the non-priority files may be downloaded in a downgraded format.

Abstract: Technology is disclosed herein for a cloud based file system that can surpass physical storage limit. According to at least one embodiment, a computing device includes a file system having multiple storage objects. The metadata of the storage objects are stored in local storage of the computing device. A remote storage server is responsible for storing the content data of the storage objects. The computing device presents the storage objects via an output device as if the content data are stored locally in the computing device. The computing device identifies some of the storage objects that have a high possibility to be read by computer applications of the computing device, and caches the content data of these storage objects locally.

Abstract: In some examples, a first mobile device is placed into communication with a second mobile device, such as through a short-range radio connection. User information is transferred from the first mobile device to the second mobile device. For example, application information for an application and saved application state information may be transferred to the second mobile device. The second mobile device may configure the application on the second mobile device based in part on the application state information received from the first mobile device. In addition, a user communication ID may be transferred from the first mobile device to the second mobile device, and may be used for communication with a third device with which the first mobile device has previously communicated. For instance, the user communication ID may be used in place of a device communication ID when sending communications from the second mobile device.

Abstract: Technology is disclosed for classification of data objects (e.g., files) in a distributed file system based on application creation and/or access information. In some embodiments, data objects of a user are stored across multiple computing devices associated with a user, e.g., mobile computing devices such as a tablet, a laptop, or a smartphone, and/or at server systems, e.g., cloud-based storage servers, in a distributed cloud-based storage system. The technology described tracks the applications that create or touch particular data objects in the distributed file system and classifies the data objects according to these applications resulting in various application classifications. For example, a classification engine can process data objects in the distributed file system to identify an application that created the data object and/or applications that have accessed the data object. The classification information can be saved by, for example, a cloud-based storage server.

Abstract: Technology is disclosed for performing a priority synchronization of a computing device to download a selected set of data files to the computing device from a distributed backup system. Data files are downloaded to a computing device by synchronizing the computing device with a server of the distributed backup system. A priority sync downloads a subset of the data files (“priority files”) rather than all of the data files of the user, thereby minimizing the computing resources consumed to download the data files. The priority sync can select the priority files based on various criteria, including an access pattern of the data files, attributes of the data files, or attributes of the computing device. The priority sync can also download the data files not identified as priority files (“non-priority files”). While the priority files are downloaded in their original format, the non-priority files are downloaded in a downgraded format.

Abstract: Some examples include one or more processors that optimize the storage capacity of a computing device of a user. For instance, the one or more processors may receive, from the computing device, an indication of a request to download a data file. In addition, the one or more processors may determine a device classification associated with the computing device and a user access pattern associated with the data file. Further, the one or more processors may perform a downsampling of the data file based on the device classification and the user access pattern in response to the request, and may transmit the downsampled data file to the computing device.