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.
Patent No.:
Date of Patent:
Jul. 12, 2005
Filed:
May. 16, 2000
Carl F. Cao, Nepean, CA;
Don W. Bennett, Ottawa, CA;
Yajun Liu, Nepean, CA;
Nabil N. Seddigh, North Gower, CA;
Biswajit B. Nandy, Kanata, CA;
Dabin Wang, Nepean, CA;
Carl F. Cao, Nepean, CA;
Don W. Bennett, Ottawa, CA;
Yajun Liu, Nepean, CA;
Nabil N. Seddigh, North Gower, CA;
Biswajit B. Nandy, Kanata, CA;
Dabin Wang, Nepean, CA;
Nortel Networks Limited, St. Laurent, CA;
Abstract
Currently there are two techniques used to classify data packet flows, those techniques being static and dynamic. A proper combination of these two techniques can allow for the advantages of both techniques to be gained while reducing their respective disadvantages. With this combined flow classification method a flow is classified initially with the use of a static classification method while, at the same time, a dynamic classification method is initiated. If at any point during the dynamic classification method, the classifications derived from the static and dynamic algorithms converge, the flow's classification is henceforth assigned by the dynamic classification method. If a predetermined number of packets or length of time that would be required for the dynamic and static classification algorithms to converge is exceeded, the flow's classification, once again, is henceforth assigned by the dynamic classification method. This allows the initial classification of the flow to occur quickly with the static classification method and the accuracy of dynamic flow classification techniques to take over once such a classification is deemed accurate.