Abstract: Technology is disclosed for sharing an authentication profile of a user between a group of user devices for accessing an access restricted computing environment (“the technology”). The access restricted computing environment can require the user to input authentication information, such as a username, password, or answers to challenge questions, to authenticate the user. For example, to access a wireless network on a first user device, a user may have to input a password for the wireless network. To access the same wireless network on a second user device, the user may have to input the password again on the second user device. The technology facilitates the user to obtain the authentication information required to access the wireless network from another user device, e.g., a device from which the user has accessed the wireless network previously. This can eliminate the need for the user to manually input the authentication information repeatedly.

Abstract: At least one embodiment of this disclosure includes a method of sharing application states across different user profiles. The method can include: receiving a request from a first computing device associated with a first user profile to load an application state of a target application, wherein the application state is owned by a second user profile; verifying permission for the first user profile to load the application state owned by the second user profile; configuring a sharing instance of the application state of the target application by accessing application data of the application state associated with the second user profile in a storage service; and sending the sharing instance to be loaded onto the first computing device.

Abstract: Technology is disclosed for providing configurable synchronization mechanisms for automatic synchronization of application states across multiple devices using cloud storage. In accordance with the techniques introduced here, a method includes steps of receiving a request for supplemental application synchronization information associated with a first application on a first remote computing device. In response the request for the supplemental application synchronization information, application-specific configuration information is determined for synchronizing a state of the first application to a cloud-based storage service. The supplemental application synchronization information including the application-specific configuration information is then provided to the first remote computing device for facilitating synchronization of the state of the first application to the cloud-based storage service.

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: At least one embodiment of this disclosure includes a method of resource balancing execution of a location-based application involving multiple devices. The method can include: identifying an application executing on an operating system of a first computing device; identifying a resource type to facilitate the executing of the location-based application; identifying computing devices each having at least an available resource instance of the identified resource type, wherein the computing devices are reachable by a communication protocol of the first computing device; and selecting a target computing device to offer up a target resource instance of the resource type to the location-based application based at least partly on a comparable limitation of each available resource instance of the computing devices.

Abstract: Technology is disclosed for determining a serialization scheme used in serializing a software object by an application (“the technology”). A source application can serialize the object using multiple serialization schemes. In order for another application to deserialize the object serialized by the source application, the application may have to know the serialization scheme used in serializing the object. The technology can analyze an intermediate code, e.g., bytecode, of the source application to determine the serialization scheme used by the source application. The technology compares a portion of the code of the source application that serializes the objects with multiple serialization scheme templates having code for known serialization schemes and determines the serialization scheme used by the source application based on a matching serialization scheme template.

Abstract: Technology is disclosed for utilizing version vector data of computing devices to optimize performance of the computing devices and/or other computer systems that provide various services to the computing devices (“the technology”). One embodiment includes analyzing version vectors of the computing devices to determining a user's usage pattern, such as the type of computing device used, the computer applications used on the computing device, and the time of day of usage. This information about usage pattern and other information that can be determined using the version vectors can enable system optimizations on both individual user level and a group of users level. For example, on the individual user level, knowing user's usage pattern may enable automatic file synchronization between multiple devices without user intervention. On the group level, a service provider may allocate resources (servers, bandwidth, etc.) to accommodate the group's usage pattern.

Abstract: At least one embodiment of this disclosure includes a method of resource balancing execution of an application involving multiple devices. The method can include: identifying an application executing on an operating system of a first computing device; identifying a resource type to facilitate the executing of the application; identifying multiple computing devices each having at least an available resource instance of the identified resource type, wherein the multiple computing devices are reachable by a communication protocol of the first computing device; and selecting a target computing device to offer up a target resource instance of the resource type to the application based at least partly on a comparable limitation of each available resource instance of the multiple computing devices.

Abstract: Technology is disclosed for using computing devices (“the devices”) of a user as an edge cache of a distributed backup system to stream video files. In the distributed backup system, the user can store different data files of the user at different devices of the user and/or at a server. For example, the user may store video files at one of the devices of the user (“a first device”) in addition to storing at the server. When the user requests to stream a particular video file to a particular device, the technology streams the video file to the particular device either from the server or from the first device. If the first device is in proximity to the particular device, the video file is streamed from the first device instead of from the server, thereby minimizing the latency involved in streaming the video file from the server.

Abstract: Technology is disclosed for sharing an authentication profile for accessing a Wi-Fi network between multiple devices. To access a particular Wi-Fi network on a first device and a second device, authentication information, e.g., a password for the Wi-Fi network, may have to be input on both the devices. In some embodiments, the technology facilitates obtaining an approval for accessing the Wi-Fi network on the second device from the first device. Upon receiving a request from a user of the second device to access the Wi-Fi network on the second device, the second device requests if any of the devices, e.g., devices in proximity, can approve the access request. A notification is displayed on the first device regarding the access request. The user associated with first device can then approve the access request, which causes authentication information for accessing the Wi-Fi network to be transmitted to the second device.

Abstract: Technology is disclosed for migrating at least portions of a video streaming application to a cloud server. The migration is based on an optimization factor of a video streaming application. The optimization factor can be computed based on consumption of computing resources of the computing device. The video streaming application is a multi-threaded application in which a background thread performs tasks that may not require user interaction and a foreground thread performs tasks that may require user interaction. A service component of the video streaming application that obtains video streaming data from video servers is one example of the background thread. A user interface component that displays the video streaming data to a user via a user interface is an example of the foreground thread. If the optimization factor of the service component is below a predefined threshold, the service component is transferred to the cloud server for further processing.

Abstract: Technology is disclosed for selectively backing up audio files and video files of a user in a distributed backup system. In the distributed backup system, the user can define various policies for storing different data files of the user at different devices of the user and/or at a server. For example, the user may define a policy for storing video files on a device having a bigger display and audio files on a device which the user uses more often than the other devices. When a backup is initiated on a particular device, the technology identifies target devices based on the defined policies, and transmits the audio and video files from the particular device to the corresponding target devices. The audio and video files are transmitted via the server or directly if the target devices are in proximity to the particular device.

Abstract: Technology is disclosed for migrating at least portions of a video streaming application to a cloud server. The migration is based on an optimization factor of a video streaming application. The optimization factor can be computed based on consumption of computing resources of the computing device. The video streaming application is a multi-threaded application in which a background thread performs tasks that may not require user interaction and a foreground thread performs tasks that may require user interaction. A service component of the video streaming application that obtains video streaming data from video servers is one example of the background thread. A user interface component that displays the video streaming data to a user via a user interface is an example of the foreground thread. If the optimization factor of the service component is below a predefined threshold, the service component is transferred to the cloud server for further processing.

Abstract: Technology is disclosed herein for migrating execution of at least a portion of a photo application to a server. According to at least one embodiment, a computing device monitors the photo application executing at the mobile device to identify a background thread and a foreground thread of the photo application, determine a current workload of the mobile device, transmit a received photo and an instance of the background thread to the server when the determined current workload exceeds a predefined threshold, receive a processed photo from the server, and provide access to the processed photo through the mobile device using the user interface generated by the foreground thread of the photo application.

Abstract: Technology is disclosed for migrating at least portions of a video streaming application to a cloud server. The migration is based on an optimization factor of a video streaming application. The optimization factor can be computed based on consumption of computing resources of the computing device. The video streaming application is a multi-threaded application in which a background thread performs tasks that may not require user interaction and a foreground thread performs tasks that may require user interaction. A service component of the video streaming application that obtains video streaming data from video servers is one example of the background thread. A user interface component that displays the video streaming data to a user via a user interface is an example of the foreground thread. If the optimization factor of the service component is below a predefined threshold, the service component is transferred to the cloud server for further processing.

Abstract: Technology is disclosed herein for migrating execution of at least a portion of a photo application to a server. According to at least one embodiment, a computing device monitors the photo application executing at the mobile device to identify a background thread and a foreground thread of the photo application, determine a current workload of the mobile device, transmit a received photo and an instance of the background thread to the server when the determined current workload exceeds a predefined threshold, receive a processed photo from the server, and provide access to the processed photo through the mobile device using the user interface generated by the foreground thread of the photo application.

Abstract: Technology is disclosed herein for migrating at least portions of computer applications to a server. According to at least one embodiment, a computing device identifies a service component of a computer application executed at the computing device. The service component does not directly interact with a user of the computing device. The computing device transfers an instance of the service component to a server so that the service component can be executed at the server. The computing device then receives from the server a result message generated by the instance of the service component executed at the server. The computing device feeds the result message to a user interface component of the computer application via a procedure call such that the user interface component retrieves the result message as if it were generated by an instance of the service component executed at the computing device.

Abstract: A computer-implemented method for signing computer applications is disclosed. The method includes generating a compiled version of a first software application, signing the first software application with a digital certificate locally to a developer of the first software application without assistance from a central certification authority, and submitting the signed first software application to an on-line application store.

Abstract: 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.

Abstract: The present disclosure relates to techniques for potentially increasing the reliability and/or stability of systems having virtual machines that support multiple modes of execution. For example, as described herein, a virtual machine partitions a plurality of program instructions into a plurality of traces for execution by a virtual machine operating on a computing device, wherein the virtual machine has first and second modes of execution, and wherein each of the plurality of traces comprises one or more of the plurality of program instructions. The virtual machine applies the second mode of execution to a first trace in the plurality of traces and determines an error condition that is caused by the application of the second mode of execution to the first trace. After determining the error condition, the virtual machine applies the first mode of execution to the first trace to recover the virtual machine from the error condition.