An FPGA based Network Interface Card with Query Filter for Storage Nodes of Big Data Systems

Ying Li, Jinyu Zhan, Wei Jiang, Junting Wu, Jianping Zhu
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引用次数: 2

Abstract

In this paper, we are interested in improving the data processing of storage and computing separated Big Data systems. We propose an Field Programmable Gate Array (FPGA) based Network Interface Card with Query Filter (NIC-QF) to accelerate the data query efficiency of storage nodes and reduce the workloads of computing nodes and the communication overheads between them. NIC-QF designed with PCIe core, query filter and NIC communication can filter the original data on storage nodes as an implicit coprocessor and directly send the filtered data to computing nodes of Big Data systems. Filter units in query filter can perform multiple SQL tasks in parallel, and each filter unit is internally pipelined, which can further speed up the data processing. Filter units can be designed to support general SQL queries on different data formats and we implement two schemes for TextFile and RCFile separately. Based on TPC-H benchmark and Tencent data set, we conduct extensive experiments to evaluate our design, which can achieve averagely up to 46.91% faster than the traditional approach.
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基于FPGA的大数据存储节点查询滤波网络接口卡
在本文中,我们感兴趣的是改进存储和计算分离的大数据系统的数据处理。为了提高存储节点的数据查询效率,减少计算节点的工作负荷和通信开销,提出了一种基于现场可编程门阵列(FPGA)的带查询滤波器的网络接口卡(NIC-QF)。采用PCIe核、查询滤波器和网卡通信设计的NIC- qf,可以作为隐式协处理器对存储节点上的原始数据进行过滤,并将过滤后的数据直接发送到大数据系统的计算节点。查询过滤器中的过滤器单元可以并行执行多个SQL任务,并且每个过滤器单元都是内部流水线的,可以进一步加快数据处理速度。过滤器单元可以设计成支持对不同数据格式的通用SQL查询,我们分别为TextFile和RCFile实现了两种方案。基于TPC-H基准和腾讯数据集,我们进行了大量的实验来评估我们的设计,平均速度比传统方法快46.91%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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