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The design of a configurable and low-latency packet parsing system for communication networks

Kai-Sheng Hsu () and Chung-An Shen ()
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Kai-Sheng Hsu: National Taiwan University of Science and Technology
Chung-An Shen: National Taiwan University of Science and Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 82, issue 4, No 2, 463 pages

Abstract: Abstract Parsing is a critical packet processing function in the network node, and the performance and configurability of the packet parsing is essential for designing a low-latency and highly flexible network. This paper presents the VLSI architecture design and circuit implementation of a configurable and low-latency packet parser. The proposed packet parser is based on an instruction architecture to achieve configurability. Furthermore, a novel instruction-reusing scheme is employed in the packet parser so that the instruction-fetch operation is minimized and the latency is reduced. Moreover, in order to reduce size of the required memory, a new structure for the instruction memory is designed where multiple instructions share the same memory location. The proposed packet parser is designed and implemented with a ASIC design flow as well as based on the FPGA platform. Performance evaluations based on the post-layout simulation shows that the proposed packet parser reduces the latency by 30% and the required memory by 70%for the IPv4 and IPv6 protocols.

Keywords: Packet parsing; Edge computing; In-network processing; Low latency (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-00992-9

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