Abstract: A system provides for display of results from performance data analysis that presents mini-chart overlays on a topology map based on intelligent analytics for components in a I/O data path of a host or other object. The mini-charts may be advantageously used to show criticality of impact to assist a user with incident avoidance and/or to provide fast incident resolution. When launching into the topology map, the user may enable mini-charts and visually see from the charts where a possible performance bottleneck is detected by the analytics. In an embodiment, the mini-charts for the most relevant metrics may be displayed and identified for criticality, such as by color. The colors may be determined by thresholds, that may be set by a user and/or determined by the system, and may be calculated automatically based on learned base line, maximum line and minimum line operations over set times.

Abstract: A system for controlled-tuning path performance data collection through a single application control. In an embodiment, performance data collection may be turned on or off from an application host running a path performance data application via a user interface. The tool may automatically update performance data collection characteristics as the application host I/O data path changes according to user controlled settings but without requiring further user intervention during the updating. In various embodiments, the tool may update continuously and/or at specified intervals. Turning on path performance data collection on the application host via the user interface may automatically set up synchronized performance data collection for all managed objects within I/O data path(s) of the managed objects.

Abstract: A method, and computer program product for computing a change plan are presented. A model of a current configuration is identified, the model including modeled system assets and modeled tasks. A request to change the current configuration to a new configuration is received. The request to change the current configuration to generate a plurality of valid strategies to be used in a genetic programming parse tree corresponding to modeled assets and modeled tasks of said model is applied to the model. The request to change the current configuration is applied to at least one of said valid strategies to generate a plurality of potential change plans. The change plans are evolved according to genetic programming principles to a preferred change plan.

Abstract: A method, and computer program product for computing a change plan are presented. A model of a current configuration is identified, the model including modeled system assets and modeled tasks. A request to change the current configuration to a new configuration is received. The request to change the current configuration to generate a plurality of valid strategies to be used in a genetic programming parse tree corresponding to modeled assets and modeled tasks of said model is applied to the model. The request to change the current configuration is applied to at least one of said valid strategies to generate a plurality of potential change plans. The change plans are evolved according to genetic programming principles to a preferred change plan.