Abstract: This disclosure describes techniques for policy validation techniques relating to data traffic routing among network devices. The techniques may include processing a validation request from a controller. A validation request may include information related to a computed path for routing data traffic in a computing network. The processing may include sending one or more path requests to one or more redundant controllers, and comparing computed paths from the redundant controller(s) to the originally computed path. The techniques may include generating a validation response based on comparing the computed paths. In some examples, the techniques may further include determining a health score for the controller. Policy validation techniques may improve data traffic routing among network devices by helping to ensure valid policies are produced.

Abstract: This disclosure describes techniques for policy validation techniques relating to data traffic routing among network devices. The techniques may include processing a validation request from a controller. A validation request may include information related to a computed path for routing data traffic in a computing network. The processing may include sending one or more path requests to one or more redundant controllers, and comparing computed paths from the redundant controller(s) to the originally computed path. The techniques may include generating a validation response based on comparing the computed paths. In some examples, the techniques may further include determining a health score for the controller. Policy validation techniques may improve data traffic routing among network devices by helping to ensure valid policies are produced.

Abstract: An iterative approach to detect outliers may automatically detect outliers in a data set. The iterative approach may include calculating a mean and an average deviation for a list. The iterative approach may further include calculating the deviations of values of a list if the average deviation is not zero. Any values where the calculated deviation of the point or value is greater than the mean may be selected. The selected points may be set as a second list. The second list may be used by the iterative approach until no points are selected for the second list. The previous list is the set of outliers from the data set.

Abstract: An iterative approach to detect outliers may automatically detect outliers in a data set. The iterative approach may include calculating a mean and an average deviation for a list. The iterative approach may further include calculating the deviations of values of a list if the average deviation is not zero. Any values where the calculated deviation of the point or value is greater than the mean may be selected. The selected points may be set as a second list. The second list may be used by the iterative approach until no points are selected for the second list. The previous list is the set of outliers from the data set.