SIP message classification: design and performance

Authors:
Arup Acharya;Xiping Wang;Charles Wright
Affiliations:
IBM T. J. Watson Research Center, Hawthorne, NY;IBM T. J. Watson Research Center, Hawthorne, NY;IBM T. J. Watson Research Center, Hawthorne, NY
Venue:
ACM SIGOPS Operating Systems Review
Year:
2008

Citing 3
Cited 0

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Real-time monitoring of SIP infrastructure using message classification

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Abstract

We present a design sketch of a programmable classification engine for SIP (Session Initiation Protocol) messages and an outline of its implementation in the Linux kernel. In addition to classifying messages, it can extract and maintain state information across multiple messages. We apply the classifier for overload control using operator-specified rules.