Abstract: A method and an apparatus for characterizing performance of a device based on user-perceivable latency. To characterize device performance, a value of a metric may be computed from latencies of operations performed by the device. In computing a value of a metric, latencies may be treated differently, such that some latencies perceivable by a user of the device may have a greater impact on the value of the metric than other latencies that either are not perceivable or are perceived by the user to a lesser degree. Such a performance metric based on user-perceivable latency facilitates identification of computing device that provide a desirable user experience.

Abstract: A method and an apparatus for characterizing performance of a device based on user-perceivable latency. To characterize device performance, a value of a metric may be computed from latencies of operations performed by the device. In computing a value of a metric, latencies may be treated differently, such that some latencies perceivable by a user of the device may have a greater impact on the value of the metric than other latencies that either are not perceivable or are perceived by the user to a lesser degree. Such a performance metric based on user-perceivable latency facilitates identification of computing device that provide a desirable user experience.

Abstract: A method and an apparatus for characterizing performance of a device based on user-perceivable latency. To characterize device performance, a value of a metric may be computed from latencies of operations performed by the device. In computing a value of a metric, latencies may be treated differently, such that some latencies perceivable by a user of the device may have a greater impact on the value of the metric than other latencies that either are not perceivable or are perceived by the user to a lesser degree. Such a performance metric based on user-perceivable latency facilitates identification of computing device that provide a desirable user experience.

Abstract: Systems and methods for monitoring operational performance of at least one application containing no explicit instrumentation are described. Data relating to the operational performance of the application can be obtained and provided to a telemetry server for analysis without the use of diagnostic instrumentation within the application. Generic and targeted performance data can be obtained using responsiveness components within a computing operating system.

Abstract: A description language and a tool for identifying, analyzing and addressing performance issues in event traces. With this language, a behavior descriptor may be defined to describe a simple behavior within a performance trace, by specifying values for a relatively small number of attributes. Even a relatively unsophisticated user can define behavior descriptors, but complex behaviors may be defined based on interactions between multiple behavior descriptors. A trace analysis tool may use a library of behavior descriptors to identify performance issues in performance traces by matching behavior descriptors to the performance trace. This analysis may be used in any number of ways, including reporting to a user detected performance issues reflected in a set of performance traces, filtering a set of performance traces to remove those performance traces corresponding to known performance issues or prioritizing efforts to resolve performance issues.

Abstract: A method and an apparatus for characterizing performance of a device based on user-perceivable latency. To characterize device performance, a value of a metric may be computed from latencies of operations performed by the device. In computing a value of a metric, latencies may be treated differently, such that some latencies perceivable by a user of the device may have a greater impact on the value of the metric than other latencies that either are not perceivable or are perceived by the user to a lesser degree. Such a performance metric based on user-perceivable latency facilitates identification of computing device that provide a desirable user experience.

Abstract: Systems and methods for monitoring operational performance of at least one application containing no explicit instrumentation are described. Data relating to the operational performance of the application can be obtained and provided to a telemetry server for analysis without the use of diagnostic instrumentation within the application. Generic and targeted performance data can be obtained using responsiveness components within a computing operating system.

Abstract: A description language and a tool for identifying, analyzing and addressing performance issues in event traces. With this language, a behavior descriptor may be defined to describe a simple behavior within a performance trace, by specifying values for a relatively small number of attributes. Even a relatively unsophisticated user can define behavior descriptors, but complex behaviors may be defined based on interactions between multiple behavior descriptors. A trace analysis tool may use a library of behavior descriptors to identify performance issues in performance traces by matching behavior descriptors to the performance trace. This analysis may be used in any number of ways, including reporting to a user detected performance issues reflected in a set of performance traces, filtering a set of performance traces to remove those performance traces corresponding to known performance issues or prioritizing efforts to resolve performance issues.