Large deviations for increasing subsequences of permutations and a concurrency application

The study of concurrent processes with conflicts aecting concurrent execution has been long related to various geometric objects. In the special case of two processes and non-overlapping conflicts (definitions below) an instance of a problem is encoded by a permutation describing the conflict sets for the interacting processes. Further, it turns out that the set of increasing subsequences of the permutation describes the homotopy classes of the execution plans for the concurrent processes, an abstraction encoding one particular serialization of the executions of two processes. This motivates the study of random increasing subsequences of random permutations. Here, we give a large deviation principle which implies that such a subsequence never deviates too far from the identity permutation: a random serialization of two concurrent processes will not delay either process's access to shared resources too much at any given time. We then give an efficient exact algorithm for uniform random sampling of an increasing subsequence from a given permutation. Finally, we indicate how our results generalize to larger numbers of processes, wherein conflict sets may take on more interesting geometries.