分布式对象存储面向高速网络中分组数据的存储和使用

Masahisa Tamura, Ken Iizawa, M. Maeda, Jun Kato, Tatsuo Kumano, Y. Nomura, T. Ozawa
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引用次数: 2

摘要

随着网络中数据流量的增加以及具有复杂流量模式的应用程序数量的增加,分组数据分析对于提高通信质量和方便故障排除变得越来越重要。特别是,除了根据统计资料进行分析以便能够详细诊断在网络和终端上发生的现象外,对分组数据的个别项目的存储和分析的需求正在增加。本文提出了一种既能实现数据包数据的高吞吐量存储又能实现高速会话搜索的分布式对象存储方法。具体而言,我们提出并评估了一种用于存储小数据(如高吞吐量的数据包数据),同时删除旧数据并进行搜索的系统,并将所提出系统的存储性能与其他分布式存储系统的存储性能进行了比较,并给出了典型搜索模式下的搜索性能评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed object storage toward storage and usage of packet data in a high-speed network
As the amount of data flowing in the network increases and as the number of applications having complex traffic patterns increases as well, packet data analysis is becoming all the more important for improving the quality of communications and facilitating troubleshooting. In particular, demand for the storage and analysis of individual items of packet data is increasing in addition to analysis based on statistical information to enable a detailed diagnosis of phenomena that have occurred on the network and at terminals. This paper proposes distributed object storage that can achieve both high-throughput storage of packet data and high-speed session searching. Specifically, we propose and evaluate a system for storing small-size data such as packet data with high throughput while deleting old data and conducting searches, and compare the storage performance of the proposed system with that of other distributed storage systems, and present the results of evaluating search performance for typical search patterns.
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