InTraBase:基于数据库的综合流量分析管理系统

M. Siekkinen, E. Biersack, G. Urvoy-Keller, V. Goebel, T. Plagemann
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引用次数: 16

摘要

互联网流量分析作为一个研究领域在过去的十年中引起了人们的极大兴趣。为分析而收集的流量数据通常存储在普通文件中,分析工具由定制的脚本组成,每个脚本都针对特定的任务进行了定制。由于数据通常是在较长时间内或从不同的有利位置收集的,因此保留描述所收集数据的元数据非常重要。使用单独的文件来存储数据、元数据和分析脚本提供了一种过于原始的抽象。将这些不同的文件“粘合”在一起的信息并不明确,而仅仅存在于参与活动的人员的头脑中。因此,操作数据非常麻烦,无法扩展,并且严重限制了这些数据的分析方式。我们建议使用数据库管理系统(DBMS),该系统为分析和管理来自测量、相关元数据和获得的结果的数据提供基础设施。我们将讨论当前方法的问题和限制,描述我们的想法,并演示我们的基于dbms的解决方案(称为InTraBase)如何解决这些问题和限制。我们展示了我们的原型的第一个版本和初步的性能分析结果。
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InTraBase: integrated traffic analysis based on a database management system
Internet traffic analysis as a research area has attracted lots of interest over the last decade. The traffic data collected for analysis are usually stored in plain files and the analysis tools consist of customized scripts each tailored for a specific task. As data are often collected over a longer period of time or from different vantage points, it is important to keep metadata that describe the data collected. The use of separate files to store the data, the metadata, and the analysis scripts provides an abstraction that is much too primitive. The information that "glues" these different files together is not made explicit but is solely in the heads of the people involved in the activity. As a consequence, manipulating the data is very cumbersome, does not scale, and severely limits the way these data can be analyzed. We propose to use a database management system (DBMS) that provides the infrastructure for the analysis and management of data from measurements, related metadata, and obtained results. We discuss the problems and limitations with today's approaches, describe our ideas, and demonstrate how our DBMS-based solution, called InTraBase, addresses these problems and limitations. We present the first version of our prototype and preliminary performance analysis results.
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