title = { Meeting Deadlines Cheaply },
    author = {Legriel, Julien and Maler, Oded},
    month = {Mai},
    year = {2011},
    booktitle = {ECRTS},
    team = {TEMPO},
    abstract = {We develop a computational framework for solving the problem of finding the cheapest configuration (in terms of the number of processors and their respective speeds) of a multiprocessor architecture on which a task graph can be scheduled within a given deadline. We then extend the problem in three orthogonal directions: taking communication volume into account, considering the case where a stream of instances of the task graph arrives periodically and reformulating the problem as a bi-criteria optimization for which we approximate the Pareto front. },



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