Detail publikace

Optimizing Packet Classification on FPGA

KEKELY, M.; KOŘENEK, J. Optimizing Packet Classification on FPGA. In PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 7-12. ISBN: 979-8-3503-3277-3. ISSN: 2334-3133.
Název česky
Optimalizace klasifikace paketu v FPGA
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kekely Michal, Ing.
Kořenek Jan, doc. Ing., Ph.D. (UPSY)
URL
Klíčová slova

FPGA, klasifikace paketu, DCFL, optimalizace

Abstrakt

Packet classification is a crucial time-critical operation for many different networking tasks ranging from switching or routing to monitoring and security devices like firewalls or IDS. Accelerated architectures implementing packet classification must satisfy the ever-growing demand for current high-speed networks. However, packet classification is generally used together with other packet processing algorithms, which decreases the available hardware resources on the FPGA chip. The introduction of the P4 language requires the packet classification to be even more flexible while maintaining a high throughput with limited resources. Thus, we need flexible and high-performance architectures to balance processing speed and hardware resources for specific types of rules. DCFL algorithm provides high performance and flexibility. Therefore, we propose optimizations to the DCFL algorithm and overall packet processing hardware architecture. The goal is to maximize the throughput and minimize the resource strain. The main idea of the approach is to analyze the ruleset, identify some conflicting rules and offload these rules to other hardware modules. This approach allows us to process packets faster, even in the worst-case scenarios. Moreover, we can fit more packet processing into the FPGA and fine-tune the packet processing architecture to meet a specific network application's throughput and resource demands. With the proposed optimizations we can achieve up to a 76 % increase in the throughput of the packet classification. Alternatively, we can achieve up to a 37 % decrease in resources needed.

Rok
2023
Strany
7–12
Časopis
IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems, ISSN 2334-3133
Sborník
PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
ISBN
979-8-3503-3277-3
Vydavatel
Institute of Electrical and Electronics Engineers
Místo
Tallinn
DOI
UT WoS
001012062000002
BibTeX
@inproceedings{BUT183418,
  author="Michal {Kekely} and Jan {Kořenek}",
  title="Optimizing Packet Classification on FPGA",
  booktitle="PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)",
  year="2023",
  journal="IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems",
  pages="7--12",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Tallinn",
  doi="10.1109/DDECS57882.2023.10139668",
  isbn="979-8-3503-3277-3",
  issn="2334-3133",
  url="https://ieeexplore.ieee.org/document/10139668"
}
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