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AssigneeNetworks Physics, Inc.
InventorsGilbert Grosdidier, Han C. Wen, Ian Adam, Minh Duong-van, Tomas J. Pavel, Richard Blankenbecler
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Congestion within a traffic stream of interest in a communication network is characterized as self-induced congestion or cross-induced congestion by analyzing a correlation result of a time series of throughput data of the traffic stream of interest and making the characterization based on power spectrum features found in the correlation result. The correlation result may be obtained through a Fourier analysis, a wavelet analysis or any mathematical process based on locating periodicities in the time series. In some cases, the characterization is made at a node in the communication network that is downstream from the congestion, while in other cases, the characterization is made at a node in the communication network that is upstream of the congestion.
A method, comprising characterizing congestion within a traffic stream of interest in a communication network as self-induced congestion or cross-induced congestion by analyzing a correlation result of a time series of throughput data of the traffic stream of interest and making the characterization based on power spectrum features found in the correlation result.
A communication network, comprising:
A method comprising analyzing a sample of throughput data for a traffic stream of interest in a communication network to produce a power spectrum of the sample and comparing the power spectrum to stored replicas of power spectrums of known congestion sources within the communication network to determine a source of congestion for the traffic stream of interest.
A method, comprising analyzing a sample of throughput data for a traffic stream of interest in a communication network to produce a power spectrum of the sample, the power spectrum having one or more peaks, and identifying bandwidth mismatches within the networks by the peaks.
Dependencies are inferred from the claim text.