使用无损压缩算法减少AFDX接收端系统的帧存储大小

Yohan Baga, Fakhreddine Ghaffari, D. Declercq, E. Zante, Michael Nahmiyace
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引用次数: 1

摘要

带宽需求和可靠性要求的增长决定了航空电子全双工交换以太网(AFDX)网络作为新一代机载通信媒介。AFDX属于确定性、实时性和基于以太网的网络家族。AFDX终端被称为终端系统(ES)。到达ES的帧必须存储在接收缓冲区中,以避免由于ES层的减速而导致帧丢失或损坏。很少注意缓冲区尺寸的问题,通常设置为非常大的尺寸。但是,过大的缓冲区大小会导致内存资源和能量方面的成本。在本文中,我们建议使用硬件实现的基于lzw的压缩算法来减小接收缓冲区的大小。为此,我们将帧解释为十六进制源符号序列,并使用一组4个并行字典对固定长度单词中的源符号序列进行编码。我们在包含数百万个符号的帧集上实现了压缩增益,当字典大小达到最佳维度时,我们获得了22%的内存增益。
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Reduction of frames storage size in AFDX reception end-system using a lossless compression algorithm
The growth of bandwidth needs and reliability requirements has determined Avionics Full-Duplex Switched Ethernet (AFDX) networks as the new generation of on-board communication mediums. AFDX belongs to the deterministic, real-time and Ethernet-based network family. The AFDX terminals are called End-Systems (ES). The frames arriving at an ES have to be stored in a reception buffer to avoid frames losses or corruptions due to slowdowns in the ES layers. Little attention is carried to the issue of buffer dimensioning which is generally set to a very large size. However, a too large buffer size leads to costs in terms of memory resources and energy. In this paper, we propose to reduce the reception buffer size by using an LZW-based compression algorithm implemented in hardware. To do that, we interpret frames as sequences of hexadecimal source symbols, and we use a set of 4 parallel dictionaries to encode sequences of source symbols in fix-length words. We realize compression gain measured on sets of frames comprising several millions of symbols, and we obtain until 22% of memory gain when the dictionaries sizes are optimally dimensioned.
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