Abstract: Embodiments include methods of topology discovery in a virtual environment. Aspects include tracking change events, responsive to a change event, rediscovering dependencies between devices in the virtual environment and maintaining a dependency mapping between the devices. Aspects also include, responsive to a fault event, building a first topology model of the virtual environment and generating a first set of the devices which the first topology model is dependent on. Aspects also include, responsive to a resolution event, building a second topology model and generating a second set of the devices which the second topology model is dependent on. Aspects further include generating a fault device set by combining the first set and the second set, deleting any duplicate devices, and utilizing the generated fault device set to determine which of the devices are more likely to be associated with future fault events.

Abstract: A network management system comprises a server connected to a plurality of probes, each probe connected to one or more managed devices. A method of operating the system comprises the steps of receiving fault events for the managed devices at the probes, detecting that the rate of received fault events has reached or is approaching an overload level for the server, identifying a managed device contributing to the reached or approached overload level, switching the probe for the identified managed device to a flood prevention mode, and operating the switched probe in the flood prevention mode thereby combining multiple fault events for the identified managed device into a single fault event for transmission to the server.

Abstract: An apparatus for predicting a network event flood comprises an event rate detector for detecting rates of event emissions from one or more devices; an aggregator for producing an aggregate rate and an aggregate rate trend of the rates of event emissions from a plurality of the devices; a level generator for generating a plurality of levels comprising maximum acceptable event rate values of a plurality of the aggregate rate trends over plural time periods; a storage component for storing the plurality of levels; a comparator for comparing a current aggregate rate trend with at least a selected one of the levels; and a signaller for signalling a predicted event flood responsive to the comparator detecting that the current aggregate rate trend will exceed the at least a selected one of the levels at a first point in time.

Abstract: An apparatus for predicting a network event flood comprises an event rate detector for detecting rates of event emissions from one or more devices; an aggregator for producing an aggregate rate and an aggregate rate trend of the rates of event emissions from a plurality of the devices; a level generator for generating a plurality of levels comprising maximum acceptable event rate values of a plurality of the aggregate rate trends over plural time periods; a storage component for storing the plurality of levels; a comparator for comparing a current aggregate rate trend with at least a selected one of the levels; and a signaller for signalling a predicted event flood responsive to the comparator detecting that the current aggregate rate trend will exceed the at least a selected one of the levels at a first point in time.

Abstract: An apparatus for predicting a network event flood comprises an event rate detector for detecting rates of event emissions from one or more devices; an aggregator for producing an aggregate rate and an aggregate rate trend of the rates of event emissions from a plurality of the devices; a level generator for generating a plurality of levels comprising maximum acceptable event rate values of a plurality of the aggregate rate trends over plural time periods; a storage component for storing the plurality of levels; a comparator for comparing a current aggregate rate trend with at least a selected one of the levels; and a signaller for signalling a predicted event flood responsive to the comparator detecting that the current aggregate rate trend will exceed the at least a selected one of the levels at a first point in time.

Abstract: A network management system comprises a server connected to a plurality of probes, each probe connected to one or more managed devices. A method of operating the system comprises the steps of receiving fault events for the managed devices at the probes, detecting that the rate of received fault events has reached or is approaching an overload level for the server, identifying a managed device contributing to the reached or approached overload level, switching the probe for the identified managed device to a flood prevention mode, and operating the switched probe in the flood prevention mode thereby combining multiple fault events for the identified managed device into a single fault event for transmission to the server.

Abstract: An apparatus for predicting a network event flood comprises an event rate detector for detecting rates of event emissions from one or more devices; an aggregator for producing an aggregate rate and an aggregate rate trend of the rates of event emissions from a plurality of the devices; a level generator for generating a plurality of levels comprising maximum acceptable event rate values of a plurality of the aggregate rate trends over plural time periods; a storage component for storing the plurality of levels; a comparator for comparing a current aggregate rate trend with at least a selected one of the levels; and a signaller for signalling a predicted event flood responsive to the comparator detecting that the current aggregate rate trend will exceed the at least a selected one of the levels at a first point in time.

Abstract: A composite window includes an exterior frame having a metal portion. An interior frame is spaced apart from the exterior frame and has a wooden portion. A thermal barrier interconnecting the exterior frame and the interior frame has an uninterrupted wall defining a cavity in cross-section to restrict the flow of heat between the exterior frame and the interior frame.