Space-efficient scheduling of stochastically generated tasks

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Authors

BRÁZDIL Tomáš ESPARZA Javier KIEFER Stefan LUTTENBERGER Michael

Year of publication 2012
Type Article in Periodical
Magazine / Source Information and Computation
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1016/j.ic.2011.10.005
Field Informatics
Keywords Stochastic models; Space-efficient scheduling; Multithreaded programs; Branching processes
Description We study the problem of scheduling tasks for execution by a processor when the tasks can stochastically generate new tasks. Tasks can be of different types, and each type has a fixed, known probability of generating other tasks. We present results on the random variable S-sigma modeling the maximal space needed by the processor to store the currently active tasks when acting under the scheduler sigma. We obtain tail bounds for the distribution of S-sigma for both offline and online schedulers, and investigate the expected value E[S-sigma].
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