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Distributed object storage toward storage and usage of packet data in a high-speed network

机译:面向高速网络中分组数据的存储和使用的分布式对象存储

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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.
机译: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简化故障排除变得越来越重要。特别地,除了基于统计信息的分析之外,对于存储和分析分组数据的各个项目的需求也在增加,以能够详细诊断网络和终端上已经发生的现象。本文提出了一种分布式对象存储,它既可以实现分组数据的高吞吐量存储又可以实现高速会话搜索。具体而言,我们提出并评估一种用于在删除旧数据并进行搜索的同时以高吞吐量存储小数据(例如分组数据)的系统,并将该系统与其他分布式存储系统的存储性能进行比较,并给出结果评估典型搜索模式的搜索性能。

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