Abstract: A computer-implemented system and method of application topology visualization of a computing environment is disclosed. The application topology visualization obtains relationship data for a plurality of managed components, wherein the plurality of managed components have an application operating thereon. Event data for the plurality of managed components is also obtained. An application topology visualizer is used to generate the application topology visualization of the computing environment including the plurality of managed components, wherein the application topology visualization uses the relationship data and the event data for the plurality of managed components. A graphical user interface is used to display the application topology visualization of the computing environment as a single page.

Abstract: A computer-implemented system and method of application topology visualization of a computing environment is disclosed. The application topology visualization obtains relationship data for a plurality of managed components, wherein the plurality of managed components have an application operating thereon. Event data for the plurality of managed components is also obtained. An application topology visualizer is used to generate the application topology visualization of the computing environment including the plurality of managed components, wherein the application topology visualization uses the relationship data and the event data for the plurality of managed components. A graphical user interface is used to display the application topology visualization of the computing environment as a single page.

Abstract: Methods, systems and processor-readable media for extracting and classifying location information utilizing social media messages and/or data thereof. The social media messages can be sampled from a social media database and the messages filtered based on a heuristic rule. A geolocation entity from the unstructured social media messages can be extracted utilizing a geolocation entity extracting module. The messages with the geoentities can be uploaded onto a crowd sourcing platform to manually annotate the messages with a label. A text classification model can be built and learned from the label utilizing a machine learning algorithm and the messages can be classified by a location classifier in order to extract the user location. The user location can then be transformed into a geocode so that a spatial search can be enabled and the distance between the locations can be easily calculated.