Bayesian approach to correlating network traffic congestion to performance metrics
US7509229B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 23, 2002 |
| Grant date | Mar 24, 2009 |
| Priority date | — |
| Expiry date | Jun 3, 2024 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
For each of a number of network performance metrics, an associated value rpm that represents a difference between a first correlation coefficient r1 computed for a baseline data set and a second correlation coefficient r2 computed for a second data set that includes the baseline data set and other data points classified as duration outliers is computed. The first and second correlation coefficients for each network performance metric represent correlation between that network performance metric and durations of network connections. The network performance metric that has a largest associated rpm value of all statistically significant rpm values computed is selected as representing the probable root cause of the duration outliers. Statistical significance is measured through comparison of an rpm value with a statistical property of a set of Bayesian correlation coefficients computed for each performance metric.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.