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The ability to model and optimize reliability is central in designing survivable Distributed Computing Systems (DCSs) where servers are prone to fail permanently. In this paper the service reliability of a DCS in uncertain topologies is analytically characterized by using a novel regeneration-based probabilistic analysis. The analysis takes into account the stochastic failure times of servers, the heterogeneity and randomness of both service times and communication delays, as well as arbitrary task-reallocation policies.
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