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 classification
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.