Risk-Aware Scheduling of Dual Criticality Job Systems Using Demand Distributions

Risk-Aware Scheduling of Dual Criticality Job Systems Using Demand Distributions

We pose the problem of scheduling Mixed Criticality (MC) job systems when there are only two criticality levels, Lo and Hi -referred to as Dual Criticality job systems- on a single processing platform, when job demands are probabilistic and their distributions are known. The current MC models requir...

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Bibliographic Details
Main Authors: Alahmad, Bader Naim, Gopalakrishnan, Sathish
Format: Article
Language:English
Published: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik 2018-05-01
Series:Leibniz Transactions on Embedded Systems
Subjects:
mixed criticalities
probability distribution
real time systems
scheduling
chance constrained markov decision process
linear programming
randomized policy
Online Access:https://drops.dagstuhl.de/storage/07lites/lites_vol005/lites_vol005_issue001/LITES-v005-i001-a001/LITES-v005-i001-a001.pdf

Internet

https://drops.dagstuhl.de/storage/07lites/lites_vol005/lites_vol005_issue001/LITES-v005-i001-a001/LITES-v005-i001-a001.pdf

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