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The Design of a Dynamic Configurable Packet Parser Based on FPGA
To meet the evolving demands of programmable networks and address the limitations of traditional fixed-type protocol parsers, we propose a dynamic and configurable low-latency parser implemented on an FPGA. The architecture consists of three protocol analysis modules and a TCAM-SRAM. Latency is redu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456924/ https://www.ncbi.nlm.nih.gov/pubmed/37630096 http://dx.doi.org/10.3390/mi14081560 |
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author | Sun, Ying Guo, Zhichuan |
author_facet | Sun, Ying Guo, Zhichuan |
author_sort | Sun, Ying |
collection | PubMed |
description | To meet the evolving demands of programmable networks and address the limitations of traditional fixed-type protocol parsers, we propose a dynamic and configurable low-latency parser implemented on an FPGA. The architecture consists of three protocol analysis modules and a TCAM-SRAM. Latency is reduced by optimizing the state machine and parallel extraction matching. At the same time, we introduce the chain mapping idea and container concept to formulate the matching and extraction rules of table entries and enhance the extensibility of the parser. Furthermore, our system supports dynamic configuration through SDN control, allowing flexible adaptation to diverse scenarios. Our design has been verified and simulated with a cocotb-based framework. The resulting architecture is implemented on Xilinx Ultrascale+ FPGAs and supports a throughput of more than 80 Gbps, with a maximum latency of only 36 nanoseconds for L4 protocol parsing. |
format | Online Article Text |
id | pubmed-10456924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104569242023-08-26 The Design of a Dynamic Configurable Packet Parser Based on FPGA Sun, Ying Guo, Zhichuan Micromachines (Basel) Article To meet the evolving demands of programmable networks and address the limitations of traditional fixed-type protocol parsers, we propose a dynamic and configurable low-latency parser implemented on an FPGA. The architecture consists of three protocol analysis modules and a TCAM-SRAM. Latency is reduced by optimizing the state machine and parallel extraction matching. At the same time, we introduce the chain mapping idea and container concept to formulate the matching and extraction rules of table entries and enhance the extensibility of the parser. Furthermore, our system supports dynamic configuration through SDN control, allowing flexible adaptation to diverse scenarios. Our design has been verified and simulated with a cocotb-based framework. The resulting architecture is implemented on Xilinx Ultrascale+ FPGAs and supports a throughput of more than 80 Gbps, with a maximum latency of only 36 nanoseconds for L4 protocol parsing. MDPI 2023-08-05 /pmc/articles/PMC10456924/ /pubmed/37630096 http://dx.doi.org/10.3390/mi14081560 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Ying Guo, Zhichuan The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title | The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title_full | The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title_fullStr | The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title_full_unstemmed | The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title_short | The Design of a Dynamic Configurable Packet Parser Based on FPGA |
title_sort | design of a dynamic configurable packet parser based on fpga |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456924/ https://www.ncbi.nlm.nih.gov/pubmed/37630096 http://dx.doi.org/10.3390/mi14081560 |
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