METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR NETWORK SERVER PERFORMANCE ANOMALY DETECTION

Patent №

US 8,938,532

Granted

2015-01-20

Filed 2011

Owner

THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13145850

Methods, systems, and computer readable media for network server performance anomaly detection are disclosed. According to one aspect of the subject matter disclosed, a method is disclosed for real-time computation of an endpoint performance measure based on transport and network layer header information. The method includes passively collecting transport and network layer header information from packet traffic in a network. Connections in the network are modeled using an abstract syntax for characterizing a sequence of application-level bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. A performance measure of at least one endpoint is computed based on the application-level characteristics and the modeled connections.

AI hardwareH04L 41/5009H04L 43/0864H04L 69/16H04L 69/22H04L 43/16

AI classification

AI hardware0.96
Knowledge representation0.49
Planning0.32
Machine learning0.00
Vision0.00
Evolutionary computation0.00
Speech0.00
Natural language0.00

Ownership

THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

assignment · 268920656

Assignors

TERRELL, JEFFREY, JEFFAY, KEVIN, SMITH, FRANK DONELSON, BROADHURST, ROBERT

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC