Abstract: The system and method described herein may include a discovery engine that scans a network datacenter to inventory resources in the datacenter and populate a configuration management database with the resource inventory. One or more destination listeners created from the resource inventory may then selectively sample monitored flows in the datacenter to model interdependencies between the inventoried resources. For example, any monitored flows originating outside the datacenter or failing to correlate with the inventoried resources may be dropped, whereby the interdependencies may be modeled from a deliberately reduced sample of the monitored flows that have information relevant to modeling relationships between resources within the datacenter. Furthermore, directionalities for the monitored flows may be determined, wherein the directionalities provide further information relevant to modeling the relationships between the resources within the datacenter.

Abstract: The system and method described herein may include a discovery engine that scans a network datacenter to inventory resources in the datacenter and populate a configuration management database with the resource inventory. One or more destination listeners created from the resource inventory may then selectively sample monitored flows in the datacenter to model interdependencies between the inventoried resources. For example, any monitored flows originating outside the datacenter or failing to correlate with the inventoried resources may be dropped, whereby the interdependencies may be modeled from a deliberately reduced sample of the monitored flows that have information relevant to modeling relationships between resources within the datacenter. Furthermore, directionalities for the monitored flows may be determined, wherein the directionalities provide further information relevant to modeling the relationships between the resources within the datacenter.

Abstract: The system and method described herein may include a discovery engine that scans a network datacenter to inventory resources in the datacenter and populate a configuration management database with the resource inventory. One or more destination listeners created from the resource inventory may then selectively sample monitored flows in the datacenter to model interdependencies between the inventoried resources. For example, any monitored flows originating outside the datacenter or failing to correlate with the inventoried resources may be dropped, whereby the interdependencies may be modeled from a deliberately reduced sample of the monitored flows that have information relevant to modeling relationships between resources within the datacenter. Furthermore, directionalities for the monitored flows may be determined, wherein the directionalities provide further information relevant to modeling the relationships between the resources within the datacenter.

Abstract: The present invention is directed to a system, method, and apparatus for orienting images. A neural net is trained with images of known orientation and an indicator indicating such known orientation. Images of unknown orientation are then input to the neural net and the orientation is determined based on the output of the neural net.