@techreport{TR-IC-12-04,
   number = {IC-12-04},
   author  = {Daniel M. Batista and André C. Drummond and Nelson L. S.
                   da Fonseca},
   title = {{Scheduling Grid Tasks under Uncertain Demands}},
   month = {December},
   year = {2011},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 11 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The  uncertainty  of the demands of grid applications can cause
       unpredicted performance and, consequently, can make ineffective
       schedules   derived   for  target  demand  values.  To  produce 
       effective  results,  schedulers  need  to take into account the
       difficulty  in  estimating the demands of applications. In this
       paper,  a  scheduler based on fuzzy optimization is proposed to
       deal  with  such  uncertainties.  It  is  shown,  via numerical
       results,  that  the proposed scheduler presents advantages when
       compared to classical schedulers.
  }
}