Abstract: The present invention provides a system for calculating latency in a distributed data flow environment. The system includes a plurality of hop servers and a central registry server. The plurality of hops servers is configured to receive a plurality of data packets across a time window, bucket each of the data packets of the plurality of data packets received across the time window into one or more buckets and transmit count of the plurality of the data packets in the one or more buckets and a window identifier associated with the time window to the central registry server. Each of the data packet of the plurality of data packets includes a header. The central registry server is configured to receive a plurality of counts and a plurality of window identifiers, to receive a latency query and to calculate latency.

Abstract: A classification system classifies different aspects of content of an input image stream, such as faces, landmarks, events, and so forth. The classification system includes a general classifier and at least one specialized classifier template. The general classifier is trained to classify a large number of different aspects of content, and a specialized classifier can be trained based on a specialized classifier template during operation of the classification system to classify a particular subset of the multiple different aspects of content. The classification system determines when to use the general classifier and when to use a specialized classifier based on class skew, which refers to the temporal locality of a subset of aspects of content in the image stream.

Abstract: Aspects of the subject disclosure are directed towards monitoring application performance during actual use, particularly mobile application performance. Described is instrumenting mobile application binaries to automatically identify a critical path in user transactions, including across asynchronous-call boundaries. Trace data is logged by the instrumented application to capture UI manipulations, thread execution, asynchronous calls and callbacks, UI updates and/or thread synchronization. The trace data is analyzed to assist developers in improving application performance.

Abstract: This document relates to a distributed network coordinate system. One implementation provides computer-readable storage media including instructions that may cause a processor to perform certain acts. For example, the acts may include storing an initial network location of a first device in a network. The network may include the first device and a second device. The acts may also include monitoring one or more network performance metrics related to existing application communications with the second device, and determining an updated network location of the first device, based on the initial network location and the network performance metrics. Aspects of network health can be derived from monitoring changes in the network locations of various devices within the coordinate system.

Abstract: A classification system classifies different aspects of content of an input image stream, such as faces, landmarks, events, and so forth. The classification system includes a general classifier and at least one specialized classifier template. The general classifier is trained to classify a large number of different aspects of content, and a specialized classifier can be trained based on a specialized classifier template during operation of the classification system to classify a particular subset of the multiple different aspects of content. The classification system determines when to use the general classifier and when to use a specialized classifier based on class skew, which refers to the temporal locality of a subset of aspects of content in the image stream.

Abstract: A method and system delivers data to a batch consumer and a streaming consumer. The method and system include retrieving data from a plurality of data centers, storing the data in a first directory, bundling the data into plurality of batches in the first directory, transferring each batch of the plurality of batches to the second directory, delivering the each batch of the plurality of batches in the second directory to the batch consumer and the streaming consumer and delivering the data in the first directory to the streaming consumer.

Abstract: This document relates to a distributed network coordinate system. One implementation provides computer-readable storage media including instructions that may cause a processor to perform certain acts. For example, the acts may include storing an initial network location of a first device in a network. The network may include the first device and a second device. The acts may also include monitoring one or more network performance metrics related to existing application communications with the second device, and determining an updated network location of the first device, based on the initial network location and the network performance metrics. Aspects of network health can be derived from monitoring changes in the network locations of various devices within the coordinate system.

Abstract: A method and system delivers data to a batch consumer and a streaming consumer. The method and system include retrieving data from a plurality of data centers, storing the data in a first directory, bundling the data into plurality of batches in the first directory, transferring each batch of the plurality of batches to the second directory, delivering the each batch of the plurality of batches in the second directory to the batch consumer and the streaming consumer and delivering the data in the first directory to the streaming consumer.

Abstract: The description relates to mobile device location. One example can identify global navigation satellite system (GNSS) satellites expected to be in line-of-sight of a mobile device. This example can detect differences between received GNSS data signals and expected GNSS data signals from the expected GNSS satellites. The example can also determine a direction from the mobile device of an obstruction that is causing at least some of the detected differences.

Abstract: A classification system classifies different aspects of content of an input image stream, such as faces, landmarks, events, and so forth. The classification system includes a general classifier and at least one specialized classifier template. The general classifier is trained to classify a large number of different aspects of content, and a specialized classifier can be trained based on a specialized classifier template during operation of the classification system to classify a particular subset of the multiple different aspects of content. The classification system determines when to use the general classifier and when to use a specialized classifier based on class skew, which refers to the temporal locality of a subset of aspects of content in the image stream.

Abstract: An environment is described in which a processing system provides application-level usage information to users. In one scenario, for example, the processing system may provide personal usage information to a user who is operating a user device. The personal usage information itemizes the amount of data (and/or other resources) that has been consumed by each application run by the user device. In another scenario, the processing system may provide expected usage information associated with at least one candidate application provided by a marketplace system. The expected usage information describes an expected consumption of data (and/or other resources) by the candidate application upon running the candidate application by the user device. The processing system can tailor the expected usage information that it sends to a particular user based on user profile data. The user profile data describes a manner in which users operate applications.

Abstract: The description relates to mobile device location. One example can identify global navigation satellite system (GNSS) satellites expected to be in line-of-sight of a mobile device. This example can detect differences between received GNSS data signals and expected GNSS data signals from the expected GNSS satellites. The example can also determine a direction from the mobile device of an obstruction that is causing at least some of the detected differences.

Abstract: A system is provided that allows a spectator to spectate video gameplay over a network. Recorded information associated with a selected recording of a player playing a video game that includes a game engine is received over the network. The recorded information includes game commands that were input to the game engine as the player was playing the game, and inputs the player made to the game to control it. The recorded information is replayed to the game at the timing in which this information was originally recorded, where this replay includes replaying the game commands to the game engine. The replay generates a playback of the selected recording which is displayed on the display screen of the spectator's computer. Upon receiving a request from the spectator to view the inputs the player made to the game they are highlighted on the screen during the playback of the selected recording.

Abstract: In embodiments of mobile device safe driving, a mobile device can display a device lock screen on an integrated display device, and transition from the device lock screen to display a driving mode lock screen. The transition to display the driving mode lock screen occurs without receiving a PIN code entered on the device lock screen. The mobile device implements a safe driving service that is implemented to activate a safe driving mode of the mobile device, and disable features of the mobile device while the safe driving mode is activated.

Abstract: An analysis management system (AMS) is described that analyzes the in-field behavior of a program resource installed on a collection of computing devices, such as mobile telephone devices or the like. In operation, the AMS can instruct different devices to collect data regarding different observation points associated with the program resource, thus spreading the reporting load among the devices. Based on the data that is collected, the AMS can update a dependency graph that describes dependencies among the observation points associated with the program resource. The AMS can then generate new directives based on the updated dependency graph. The AMS can also use the dependency graph and the collected data to infer information regarding observation points that is not directly supplied by the collected data.

Abstract: An identification is made as to when a device is at an anchor location, which can be a proximity zone along an edge of a dead zone or a location where a signal from a beacon is detected. In response to the device being at the anchor location, one or more inertial sensors can be activated and data from the one or more inertial sensors collected to determine a position of the device using dead reckoning. Alternatively, in response to the device being at the anchor location, a determination is made as to when to deactivate one or more inertial sensors from which data is collected to determine the position of the device using dead reckoning.

Abstract: An environment is described in which a processing system provides application-level usage information to users. In one scenario, for example, the processing system may provide personal usage information to a user who is operating a user device. The personal usage information itemizes the amount of data (and/or other resources) that has been consumed by each application run by the user device. In another scenario, the processing system may provide expected usage information associated with at least one candidate application provided by a marketplace system. The expected usage information describes an expected consumption of data (and/or other resources) by the candidate application upon running the candidate application by the user device. The processing system can tailor the expected usage information that it sends to a particular user based on user profile data. The user profile data describes a manner in which users operate applications.

Abstract: In embodiments of restricted execution modes, a mobile device can display a device lock screen on an integrated display device, and transition from the device lock screen to display a shared space user interface of a shared space. The transition to display the shared space user interface is without receiving a PIN code entered on the device lock screen. The mobile device implements a restricted execution service that is implemented to activate a restricted execution mode of the mobile device, and restrict access of a device application to device content while the restricted execution mode is activated. The restricted execution service can also allow a shared device application that is included in the shared space access to the device content while the restricted execution mode is activated.

Abstract: In one kind of DoS attack, malicious customers may try to send a large number of filter requests against an innocent customer. In one implementation, a Filter Request Server (FRS) may allow a customer against who a filter request is made to dispute the implicit accusation of the filter request or stop sending malicious traffic. If the customer claims innocence, the FRS may log destination addresses of data packets sent by the customer and identify and ignore false filter requests if these filter requests come from customers who do not correspond to one or more of the destination addresses that have previously been logged by the FRS.

Abstract: Aspects of the subject disclosure are directed towards monitoring application performance during actual use, particularly mobile application performance. Described is instrumenting mobile application binaries to automatically identify a critical path in user transactions, including across asynchronous-call boundaries. Trace data is logged by the instrumented application to capture UI manipulations, thread execution, asynchronous calls and callbacks, UI updates and/or thread synchronization. The trace data is analyzed to assist developers in improving application performance.