HIERARCHY FOR CHARACTERIZING INTERACTIONS WITH AN APPLICATION

Patent №

US 7,805,510

Granted

2010-09-28

Filed 2006

Owner

COMPUTER ASSOCIATES THINK, INC.

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11565490

Application runtime data is obtained from an application monitoring system which monitors execution of an application, and traffic monitoring data is obtained from a traffic monitoring system which monitors traffic to/from the application as the clients interact with the application. Corresponding application runtime data and traffic monitoring data can be selectively output to assist an operator in investigating an anomalous condition. The data can be classified and selectively output according to one or more hierarchies which characterize the interactions. The hierarchies can include a domain level, a business process level (where a domain is made up of a number of business processes), a business transaction level (where a business process is made up of different business transactions), an individual transaction level (where a business transaction is made up of different transactions), and a transaction component level (where a transaction is made up of one or more transaction components).

Machine learningKnowledge representationPlanningH04L 67/125H04L 67/14H04L 67/146H04L 67/535

AI classification

Knowledge representation1.00
Planning0.99
Machine learning0.91
AI hardware0.10
Vision0.00
Speech0.00
Natural language0.00
Evolutionary computation0.00

Ownership

COMPUTER ASSOCIATES THINK, INC.

assignment · 189690253

Assignors

BANSAL, JYOTI K., THIO, LING, COBB, JEFFREY R.

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

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