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- W2093685233 abstract "Motivated by applications in grid computing and project management, we study multiprocessor scheduling in scenarios where there is uncertainty in the successful execution of jobs when assigned to processors. We consider the problem of multiprocessor scheduling under uncertainty, in which we are given n unit-time jobs and m machines, a directed acyclic graph C giving the dependencies among the jobs, and for every job j and machine i, the probability pij of the successful completion of job j when scheduled on machine i in any given particular step. The goal of the problem is to find a schedule that minimizes the expected makespan, that is, the expected completion time of all the jobs." @default.
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- W2093685233 date "2007-06-09" @default.
- W2093685233 modified "2023-10-01" @default.
- W2093685233 title "Approximation algorithms for multiprocessor scheduling under uncertainty" @default.
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- W2093685233 doi "https://doi.org/10.1145/1248377.1248383" @default.
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