A Framework for the Analysis of BGP Data over Long Timescales

Geng Zhang, Dahua Zhang, Lei Lu, Min Zhu
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Abstract

BGP data are very important for understanding the dynamics of the inter domain routing. With the development of Internet, the routing data that BGP routers deals with are increasing dramatically. Nowadays, the most important factor to restrict the research process for general scientific researchers is how to deal with the large volume metadata of TB sizes. Not to mention that metadata sizes can be times larger after decompression. In this paper, we address this problem by presenting a framework, which can deal with large volume of data and extract potential information. What's more, it as well reveals some characteristics of the inter domain routing over long timescale.
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一种长时间尺度BGP数据分析框架
BGP数据对于理解域间路由的动态非常重要。随着Internet的发展,BGP路由器处理的路由数据急剧增加。当前,制约普通科研人员科研进程的最重要因素是如何处理TB量级的海量元数据。更不用说解压缩后的元数据大小可能会大几倍。在本文中,我们通过提出一个框架来解决这个问题,该框架可以处理大量数据并提取潜在信息。此外,还揭示了跨域路由在长时间尺度上的一些特点。
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