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WAOA
2004
Springer
132views Algorithms» more  WAOA 2004»
14 years 1 months ago
Stochastic Online Scheduling on Parallel Machines
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize the weighted completion times of jobs. In contrast to the classical stochastic ...
Nicole Megow, Marc Uetz, Tjark Vredeveld
FMSD
2002
107views more  FMSD 2002»
13 years 7 months ago
Verification of Out-Of-Order Processor Designs Using Model Checking and a Light-Weight Completion Function
We present a new technique for verification of complex hardware devices that allows both generality andahighdegreeofautomation.Thetechniqueisbasedonournewwayofconstructinga"li...
Sergey Berezin, Edmund M. Clarke, Armin Biere, Yun...
IPPS
2007
IEEE
14 years 2 months ago
Stochastic Approach to Scheduling Multiple Divisible Tasks on a Heterogeneous Distributed Computing System
Heterogeneity has been considered in scheduling, but without taking into account the temporal variation of completion times of the sub-tasks for a divisible, independent task. In ...
Ankur Kamthe, Soo-Young Lee
DAGSTUHL
2006
13 years 9 months ago
Decentralization and Mechanism Design for Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of ...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
13 years 11 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...