Abstract: A method of analyzing a communication network comprising determining a mean drop rate in a device x by polling each device from a network management computer (NMC) which is in communication with the network, and processing signals in the NMC to determine a drop rate D(x), in accordance with: D(x)=((L+(x)−L−(x))/2, and L(x)=1−A(x) where A(x): the fraction of poll requests from the NMC to device x for which the NMC receives replies (measured over the last M sampling periods), (wherein x must not be broken), D(x): the mean frame drop rate in device x, L(c): NMC's perception of the loss rate to device x and back, L−(x): the NMC's perception of the mean value of L(z) for all devices z connected to device x, closer to the NMC than device x and which are not broken, and L+(x): the NMC's perception of the mean value of L(z) for all devices z connected to device x, further away from the NMC than device x and which are not broken.

Abstract: A method of detecting outliers measured during progression of an activity of an entity from one point to another point, comprising measuring activity at a point in a first dimension, measuring the same activity at the same point in at least a second dimension referenced to the same time as measuring the activity in the first dimension, and rejecting outliers which have values outside a maximum expected difference between the activity measured in the first and second dimensions.

Abstract: A method for automatically aggregating objects and determining a hierarchical organization of these objects and aggregates by exploiting known or computed priorities and correlations.

Abstract: A method of analyzing a communication network that determines a mean drop rate in a device x by polling each device from a network management computer (NMC) which is in communication with the network, and processing signals in the NMC to determine a drop rate D(x), in accordance with:D(x)=((L+(x)-L-(x))/2,and L(x)=1-A(x)whereA(x): the fraction of poll requests from the NMC to device x for which the NMC receives replies (measured over the last M sampling periods), (wherein x must not be broken),D(x): the mean frame drop rate in device x,L(c): NMC's perception of the loss rate to device x and back,L-(x): the NMC's perception of the mean value of L(z) for all devices z connected to device x, closer to the NMC than device x and which are not broken, andL+(x): the NMC's perception of the mean value of L(z) for all devices z connected to device x, further away from the NMC than device x and which are not broken.

Abstract: A hybrid method is described that allows for the combination of both source-compiled and source-interpreted code in the execution of computer programs. While traditional practice has dictated otherwise, code does not need to be either solely interpreted or solely compiled.