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Abstract:

Modeling &e reliability of distributed systems requires a good understanding of the reliability of the components'. Careful modeling allows highly fault-tolerant distributed data applications to be constructed at the least cost. Failure and repair rates of components ' are often assumed to be exponentially distributed. This ' hypothesis ' is testable for failure rates, though the process of gathering and reducing the data to a usable form can be difficult. By applying an appropriate test statistic, some samples were found to have a realistic chance of being drawn from an exponential distribution, while others ' can be confidently classed as ' non-exponential. Data were collected from a large number of hosts via the Internet. Almost all of the visible Internet (over 350, 000 hosts') were considered, and more than 68, 000 of these that were judged likely to respond were queried. These hosts ' were sampled several times to obtain up-times, and finally to determine average host availability. Estimates of availability, mean-time-to-failure (MITF) and mean-timeto-repair (MITR) were derived. The results ' reported here correspond with those commonly seen in practice.

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