The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 16, 2012

Filed:

Feb. 20, 2007
Applicants:

Shawn Melamed, Mevasseret Zion, IL;

Amir Knipel, Mikhmoret, IL;

Einat OR, Tel Aviv, IL;

Eyal Klingbell, Rehovot, IL;

Inventors:

Shawn Melamed, Mevasseret Zion, IL;

Amir Knipel, Mikhmoret, IL;

Einat Or, Tel Aviv, IL;

Eyal Klingbell, Rehovot, IL;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01);
U.S. Cl.
CPC ...
Abstract

The invention provides a method for learning and identification of message types in a network in which the learning and identification is based solely upon information contained in messages in the network. In one embodiment, the method includes comparing a current message with one or more previously defined message structures and applying a comparison method in order to infer whether the structure of the current message conforms to any one of the previously defined message structures. The invention also provides a method for classifying a collection of messages input or output from a computational node in which the set of messages is portioned into subsets of similar messages, and a structure of the messages of each subset is characterized. The invention further provides a method for inferring causal relations between a message type input to a computational node in a network and message type output from the computational node in the network using one or more statistical tests. The invention further provides a system for monitoring transactions within a distributed information network. The system includes collection servers that execute a classification module and a correlation module. A management server analyzes data from the collection servers in order to determine a performance of the transactions in the system.


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