We present a retrospective and longitudinal study of Internet latency and path stability using three large-scale traceroute datasets collected over several years: Ark and iPlane from 2008 to 2013 and a proprietary CDN's traceroute dataset spanning 2012 and 2013. Using these different "lenses", we revisit classical properties of Internet paths such as end-to- end latency, stability, and of routing graph structure. Iterative data analysis at this scale is challenging given the idiosyncrasies of different collection tools, measurement noise, and the diverse analysis we desire. To this end, we leverage re- cent big-data techniques to develop a scalable data analysis toolkit, Hummus, that enables rapid and iterative analysis on large traceroute measurement datasets. Our key findings are: (1) overall latency seems to be decreasing; (2) some geographical regions still have poor latency; (3) route stability (prevalence and persistence) is increasing; and (4) we ob- serve a mixture of effects in the routing graph structure with high-degree ASes rapidly increasing in degree and lower- degree ASes forming denser "communities".




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