DR. RICHARD KE'AUMOANA CHUNG, N D
Dietitian and Nutritionist at 14 Ave, Seattle, WA

2006002, Jan 26, 2006

Jun 15, 2005

11/153049

Kevin Lo - La Canada CA, US
Richard Chung - Seattle WA, US

G01R 31/28, G06F 11/00

714741000

Systems, methods and computer program products for monitoring performance of network infrastructure and applications by automatically identifying system variables or combinations constructed from such variables that dominate variance of system performance. A method, system and computer program monitors performance of executing software applications and execution infrastructure components to detect deviations in performance. Logic acquires data from executing software applications and execution infrastructure, said data including descriptive data variables and outcomes data variables. Other logic statistically analyzes said acquired data to identify instances where the statistical description of operating behavior deviates from expected operating behavior and to indicate with a statistically significant probability that an operating anomaly exists within said executing software applications and execution infrastructure; and logic, cooperating with the logic to statistically analyze, filters out non-essential variables in the acquired data from being utilized by the logic to statistically analyze, such that remaining variables and combinations thereof account for a substantial contribution in the variance of performance of the executing software applications and execution infrastructure.

2006002, Jan 26, 2006

Jun 15, 2005

11/152964

Kevin Lo - La Canada CA, US
Richard Chung - Seattle WA, US

G06F 9/44

717127000

Systems, methods and computer program products for monitoring performance of arbitrary groupings of network infrastructure and applications. A method, system and computer program monitor arbitrary groupings of executing software applications and execution infrastructure to detect deviations in performance. A group of software applications and execution infrastructure components is selected arbitrarily and without constraint to define a managed unit. Data from the software applications and execution infrastructure components of the at least one managed unit is acquired. The acquired data is statistically analyzed to identify deviations in operating behavior of the at least one managed unit to indicate a statistically significant probability that an operating anomaly exists within the at least one managed unit.

2005027, Dec 15, 2005

Jun 15, 2005

11/153120

Kevin Lo - La Canada CA, US
Richard Chung - Seattle WA, US

G06F009/44, G06F009/445

717126000, 717169000, 717175000

Methods for using statistical analysis to monitor performance of new network infrastructure and applications for deployment thereof. A method monitors a release of executing software applications or execution infrastructure to detect deviations in performance. A first set of time-series data is acquired from executing software applications and execution infrastructure. A first statistical description of expected behavior is derived from the first set of acquired data. A second set of time-series data is acquired from the monitored release of executing software applications and execution infrastructure. A second statistical description of behavior is derived from the second set of acquired data. The first and second statistical descriptions are compared to identify instances where the first and second statistical descriptions deviate sufficiently to indicate a statistically significant probability that an operating anomaly exists within the monitored release of executing software applications and execution infrastructure.

2006002, Jan 26, 2006

Jun 15, 2005

11/152966

Kevin Lo - La Canada CA, US
Richard Chung - Seattle WA, US

G06F 9/44

717127000, 717124000

Systems, methods and computer program products for monitoring performance of groupings of network infrastructure and applications using statistical analysis. A method, system and computer program monitors managed unit groupings of executing software applications and execution infrastructure to detect deviations in performance. Logic acquires time-series data from at least one managed unit grouping of executing software applications and execution infrastructure. Other logic derives a statistical description of expected behavior from an initial set of acquired data. Logic derives a statistical description of operating behavior from acquired data corresponding to a defined moving window of time slots. Logic compares the statistical description of expected behavior with the statistical description of operating behavior; and logic reports predictive triggers, said logic to report being responsive to said logic to compare and said logic to report identifying instances where the statistical description of operating behavior deviates from statistical description of operating behavior to indicates a statistically significant probability that an operating anomaly exists within the at least managed unit grouping corresponding to the acquired time-series data.