Data Packet Processing Model based on Multi-Core Architecture

doi:10.23940/ijpe.18.07.p1.13831390

Abstract

Abstract:

According to the characteristics of pipeline structure and multi-core processor structure for packet processing in network detection applications, the horizontal-based parallel architecture model and tree-based parallel architecture model are proposed for packet processing of Snort application. The principle of a tree-based parallel architecture model is to use pipelining and flow-pinning technology to design a processor that is specifically used to capture data packets, and other processors are responsible for other stages of parallel processing of the data packets. The experimental comparison and analysis show that the tree-based parallel architecture model has higher performance on the second-level cache hit ratio, throughput, CPU utilization, and inter-core load balancing compared to the horizontal-based parallel architecture model for packet processing of Snort application.

Submitted on March 20, 2018; Revised on April 12, 2018; Accepted on June 23, 2018
References: 12

Xian Zhang, Dong Yin, Taiguo Qu, Jia Liu, and Yiwen Liu. Data Packet Processing Model based on Multi-Core Architecture [J]. Int J Performability Eng, 2018, 14(7): 1383-1390.

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