摘要:
In one embodiment, a graphical user interface (“GUI”) enables the efficient composition and execution of a test of a message-based application, Web application, or SOA systems' capacity to receive, process and respond to message traffic. The GUI may be used to generate a test composition by dragging and dropping message clips onto one or more tracks. Each clip includes one or more message, with each track being organized into one or more bands. Each track and each band may run contemporaneously to send messages to a target device or application. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure.
摘要:
In one embodiment, a graphical user interface (“GUI”) enables the efficient composition and execution of a test of a message-based application, Web application, or SOA systems' capacity to receive, process and respond to message traffic. The GUI may be used to generate a test composition by dragging and dropping message clips onto one or more tracks. Each clip includes one or more message, with each track being organized into one or more bands. Each track and each band may run contemporaneously to send messages to a target device or application. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure.
摘要:
In one embodiment, a graphical user interface (“GUI”) enables the efficient composition and execution of a test of a message-based application, Web application, or SOA systems' capacity to receive, process and respond to message traffic. The GUI may be used to generate a test composition by dragging and dropping message clips onto one or more tracks. Each clip includes one or more message, with each track being organized into one or more bands. Each track and each band may run contemporaneously to send messages to a target device or application. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure.
摘要:
In one embodiment, a graphical user interface (“GUI”) enables the efficient composition and execution of a test of a message-based application, Web application, or SOA systems' capacity to receive, process and respond to message traffic. The GUI may be used to generate a test composition by dragging and dropping message clips onto one or more tracks. Each clip includes one or more message, with each track being organized into one or more bands. Each track and each band may run contemporaneously to send messages to a target device or application. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure.
摘要:
An automated method for provisioning a grid used to run a load test on a target website includes sending one or more requests in a multi-threaded manner to at least one cloud provider, the one or more requests for an allocation of N load server instances and M result server instances which comprise the grid. Requests received back from the cloud provider are also handled in a multi-threaded manner; any errors occurring during the allocation being corrected automatically. The N load server instances and the M result server instances are then verified to be operational and correctly running software deployed to provide defined test services. Errors identified during the verification are automatically corrected either by attempting to restart a failed instance or allocating a different instance.
摘要:
A method for real-time analysis of results from a load test performed on a target website includes calculating first-level aggregated test results within each of a plurality of load server instances that generate a load on the target website. The first-level aggregated test results are calculated from data points received by each of the load server instances from the target website. The first-level aggregated test results include a sum of the data points, a count of the number of the data points, a sum of squares of the data points, and an average of the data points. A standard deviation result (STDEV) is calculated and chart is generated on a display via a graphical user interface. The chart provides a visual representation of a performance metric for the load test based on the standard deviation result.
摘要:
A method for real-time analysis of results from a load test performed on a target website includes calculating first-level aggregated test results within each of a plurality of load server instances that generate a load on the target website. The first-level aggregated test results are calculated from data points received by each of the load server instances from the target website. The first-level aggregated test results include a sum of the data points, a count of the number of the data points, a sum of squares of the data points, and an average of the data points. A standard deviation result (STDEV) is calculated and chart is generated on a display via a graphical user interface. The chart provides a visual representation of a performance metric for the load test based on the standard deviation result.
摘要:
A method for real-time analysis of results from a load test performed on a target website includes periodically computing first-level aggregated test results within each of a plurality of load server instances that generate a load on the target website. The first-level aggregated test results are computed from data received by each of the load server instances from the target website every first time interval. The first-level aggregated test results are then periodically sent from each of the load server instances to an associated one of a plurality of analytic server instances every second time interval. The first-level aggregated test results are aggregated by each of the analytic server instances to produce second-level aggregated test results, which test results may then further aggregated to produce third-level aggregated test results at a data storage instance in real-time.
摘要:
A method for real-time analysis of results from a load test performed on a target website includes periodically computing first-level aggregated test results within each of a plurality of load server instances that generate a load on the target website. The first-level aggregated test results are computed from data received by each of the load server instances from the target website every first time interval. The first-level aggregated test results are then periodically sent from each of the load server instances to an associated one of a plurality of analytic server instances every second time interval. The first-level aggregated test results are aggregated by each of the analytic server instances to produce second-level aggregated test results, which test results may then further aggregated to produce third-level aggregated test results at a data storage instance in real-time.
摘要:
A method for real-time analysis of results from a load test performed on a target website includes calculating first-level aggregated test results within each of a plurality of load server instances that generate a load on the target website. The first-level aggregated test results are calculated from data points received by each of the load server instances from the target website. The first-level aggregated test results include a sum of the data points, a count of the number of the data points, a sum of squares of the data points, and an average of the data points. A standard deviation result (STDEV) is calculated and chart is generated on a display via a graphical user interface. The chart provides a visual representation of a performance metric for the load test based on the standard deviation result.