Abstract: A method in an analysis tool for dynamically analyzing client-side performance during the rendering of web content is provided. The method comprises automatically capturing data while a client application executes executable code written in a scripting language to render a web page wherein the data identifies components that are created, the execution time for creating each component, the execution start time for each component, and the components that are initially visible when the web page is rendered by the client application. The method further comprises analyzing the captured data as the data is captured to determine a plurality of factors that include the scripting language cycle duration, the identification of redundant code executions, and the prioritization and ordering of code module execution. The method further comprises generating a metric using the factors that characterizes the performance of the client application during web page rendering and displaying the metric.

Abstract: Programmatic control of device I/O and EMF quiet mode, zone, signaling, and protocol are disclosed. Programmatic device I/O control reduces EMF radiation from a device with a device I/O controller application for programmatic control of the device's I/O channels. Responsive to firing of control rules, the device I/O application calls device APIs to control I/O channel settings. A quiet mode that reduces overall EMF radiation from a device is administered by an administrator and controls the device's wired or wireless I/O channels to create an EMF quiet zone in which some or all devices in a vicinity respond to a request to put themselves into an EMF quiet mode.

Abstract: A method in an analysis tool for dynamically analyzing client-side performance during the rendering of web content is provided. The method comprises automatically capturing data while a client application executes executable code written in a scripting language to render a web page wherein the data identifies components that are created, the execution time for creating each component, the execution start time for each component, and the components that are initially visible when the web page is rendered by the client application. The method further comprises analyzing the captured data as the data is captured to determine a plurality of factors that include the scripting language cycle duration, the identification of redundant code executions, and the prioritization and ordering of code module execution. The method further comprises generating a metric using the factors that characterizes the performance of the client application during web page rendering and displaying the metric.

Abstract: A method in an analysis tool for dynamically analyzing client-side performance during the rendering of web content is provided. The method comprises automatically capturing data while a client application executes executable code written in a scripting language to render a web page wherein the data identifies components that are created, the execution time for creating each component, the execution start time for each component, and the components that are initially visible when the web page is rendered by the client application. The method further comprises analyzing the captured data as the data is captured to determine a plurality of factors that include the scripting language cycle duration, the identification of redundant code executions, and the prioritization and ordering of code module execution. The method further comprises generating a metric using the factors that characterizes the performance of the client application during web page rendering and displaying the metric.

Abstract: A method in an analysis tool for dynamically analyzing client-side performance during the rendering of web content is provided. The method comprises automatically capturing data while a client application executes executable code written in a scripting language to render a web page wherein the data identifies components that are created, the execution time for creating each component, the execution start time for each component, and the components that are initially visible when the web page is rendered by the client application. The method further comprises analyzing the captured data as the data is captured to determine a plurality of factors that include the scripting language cycle duration, the identification of redundant code executions, and the prioritization and ordering of code module execution. The method further comprises generating a metric using the factors that characterizes the performance of the client application during web page rendering and displaying the metric.