- Title
- Parallel packet classification using GPU co-processors
- Creator
- Nottingham, Alistair
- Creator
- Irwin, Barry V W
- Subject
- To be catalogued
- Date Issued
- 2010
- Date
- 2010
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/430250
- Identifier
- vital:72677
- Identifier
- https://doi.org/10.1145/1899503.1899529
- Description
- In the domain of network security, packet filtering for classification pur-poses is of significant interest. Packet classification provides a mecha-nism for understanding the composition of packet streams arriving at distinct network interfaces, and is useful in diagnosing threats and un-covering vulnerabilities so as to maximise data integrity and system se-curity. Traditional packet classifiers, such as PCAP, have utilised Con-trol Flow Graphs (CFGs) in representing filter sets, due to both their amenability to optimisation, and their inherent structural applicability to the metaphor of decision-based classification. Unfortunately, CFGs do not map well to cooperative processing implementations, and single-threaded CPU-based implementations have proven too slow for real-time classification against multiple arbitrary filters on next generation networks. In this paper, we consider a novel multithreaded classification algorithm, optimised for execution on GPU co-processors, intended to accelerate classification throughput and maximise processing efficien-cy in a highly parallel execution context.
- Format
- 9 pages
- Format
- Language
- English
- Relation
- Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
- Relation
- Nottingham, A. and Irwin, B., 2010, October. Parallel packet classification using GPU co-processors. In Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (pp. 231-241)
- Relation
- Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists volume 2010 number 1 231 241 2010 978-1-60558-950-3
- 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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