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Is correlation among failures so strong that a system should explicitly consider such effects?

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Is correlation among failures so strong that a system should explicitly consider such effects?

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Here we investigate how strong failure correlation is for PlanetLab nodes and for the collection of web servers. Since correlated failures tend to be rare, we need a long trace to observe them; so, we do not study DNS_trace because of its short duration. We are interested in the distribution for the number of near-simultaneous failures. In each probe interval, we determine the number of near-simultaneous failures by counting the number of nodes that are unavailable in the interval but were available in the previous interval. Figures 7 and 8 plot the PDF for the number of near-simultaneous failures in PL_trace and WS_trace, respectively. We observe that large-scale correlated failures do happen: PL_trace shows an event where 58 nodes failed near-simultaneously; while WS_trace has a failure event of 42 web servers. Both graphs also show the fitting of the beta-binomial distribution (BBD) and geometric distribution to the measured data. BBD is used in [11] to model correlated failures in

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