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Towards effective network algorithms on multi-core network processors
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Source Symposium On Architecture For Networking And Communications Systems archive
Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems table of contents
San Jose, California
POSTER SESSION: Posters table of contents
Pages 125-126  
Year of Publication: 2008
ISBN:978-1-60558-346-4
Authors
Yaxuan Qi  Tsinghua University, Beijing, China and Tsinghua National Lab for Information Science and Technology, Beijing, China
Zongwei Zhou  Tsinghua University, Beijing, China
Baohua Yang  Tsinghua University, Beijing, China
Fei He  Tsinghua University, Beijing, China
Yibo Xue  Tsinghua University, Beijing, China and Tsinghua National Lab for Information Science and Technology, Beijing, China
Jun Li  Tsinghua University, Beijing, China and Tsinghua National Lab for Information Science and Technology, Beijing, China
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

To build high-performance network devices with holistic security protection, a large number of algorithms have been proposed. However, multi-core implementation of the existing algorithms suffers from three limitations: performance instability, data-structure heterogeneity, and hardware dependency. In this paper, we propose three principles for effective network processing on multi-core network processors. To verify the effectiveness of these principles, algorithms for two typical network processing tasks are redesigned and implemented on the Cavium Octeon3860 network processor. Test results show that our schemes achieve superior performance in comparison with existing best-known algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Wu and U. Manber, "A Fast Algorithm for Multi-pattern Searching," Technical Report TR-94-17, Department of Computer Science, University of Arizona, 1994.

Collaborative Colleagues:
Yaxuan Qi: colleagues
Zongwei Zhou: colleagues
Baohua Yang: colleagues
Fei He: colleagues
Yibo Xue: colleagues
Jun Li: colleagues