Extending the NFComms: framework for bulk data transfers

Nottingham, Alastair; Irwin, Barry V W

Title: Extending the NFComms: framework for bulk data transfers
Creator: Nottingham, Alastair
Creator: Irwin, Barry V W
Subject: To be catalogued
Date Issued: 2009
Date: 2009
Type: text
Type: article
Identifier: http://hdl.handle.net/10962/430164
Identifier: vital:72670
Identifier: https://doi.org/10.1145/1632149.1632170
Description: Packet analysis is an important aspect of network security, which typi-cally relies on a flexible packet filtering system to extrapolate important packet information from each processed packet. Packet analysis is a computationally intensive, highly parallelisable task, and as such, clas-sification of large packet sets, such as those collected by a network tel-escope, can require significant processing time. We wish to improve upon this, through parallel classification on a GPU. In this paper, we first consider the OpenCL architecture and its applicability to packet analy-sis. We then introduce a number of packet demultiplexing and routing algorithms, and finally present a discussion on how some of these techniques may be leveraged within a GPGPU context to improve packet classification speeds.
Format: 9 pages
Format: pdf
Language: English
Relation: Proceedings of the 2009 annual research conference of the South African Institute of Computer Scientists and Information Technologists
Relation: Nottingham, A. and Irwin, B., 2009, October. GPU packet classification using OpenCL: a consideration of viable classification methods. In Proceedings of the 2009 annual research conference of the South African Institute of Computer Scientists and Information Technologists (pp. 160-169)
Relation: Proceedings of the 2009 annual research conference of the South African Institute of Computer Scientists and Information Technologists volume 2009 number 1 160 169 2009 978-1-60558-643-4
Rights: Publisher
Rights: Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)

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Irwin, Barry V W (Prof)

RU Department of Computer Science

SDG 09. Industry, Innovation and Infrastructure

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