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        <datestamp>2024-03-06T10:36:42Z</datestamp>
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          <dc:title>Minimizing Weighted lp-Norm of Flow-Time in the Rejection Model</dc:title>
          <dc:creator>Roy Choudhury, Anamitra</dc:creator>
          <dc:creator>Das, Syamantak</dc:creator>
          <dc:creator>Kumar, Amit</dc:creator>
          <dc:subject>online scheduling</dc:subject>
          <dc:subject>flow-time</dc:subject>
          <dc:subject>competitive analysis</dc:subject>
          <dc:description>We consider the online scheduling problem to minimize the weighted ell_p-norm of flow-time of jobs. We study this problem under the rejection model introduced by  Choudhury et al. (SODA 2015) - here the online algorithm is allowed to not serve an eps-fraction of the requests. We consider the restricted assignments setting where each job can go to a specified subset of machines. Our main result is an immediate dispatch non-migratory 1/eps^{O(1)}-competitive algorithm for this problem when one is allowed to reject at most eps-fraction of the total weight of jobs arriving. This is in contrast with the speed augmentation model under which no online algorithm for this problem can achieve a competitive ratio independent of p.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Anamitra Roy Choudhury and Syamantak Das and Amit Kumar</dc:contributor>
          <dc:date>2015</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 45, 35th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2015)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2015.25</dc:identifier>
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          <dc:language>eng</dc:language>
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