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We study the problem of minimizing weighted flow time on a single machine in the preemptive setting. We present an O(log2 P)-competitive semi-online ...
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Algorithms minimizing mean flow time: schedule-length properties
link.springer.com › Acta Informatica
Mar 1, 1976 · In general, there will be a large class C of schedules, of widely differing lengths, that all minimize mean flow time.
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines.
On a system of identical processors O(nlog n) algorithms exist for determining minimal mean flow time schedules for n independent tasks. In general, there will ...
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines.
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The best known heuristic for minimizing the average flow time when preemption is allowed is shortest remaining processing time (SRPT).
Jan 24, 2017 · We consider the problem of minimizing the total flow time of a set of unit sized jobs in a discrete time model, subject to a temperature ...
Abstract—Many algorithms have been proposed to efficiently schedule parallel jobs on a multicore and/or multiprocessor machine to minimize average flow time ...
We study the problem of minimizing weighted flow time on a single machine in the preemptive setting. We present an O(\log^2 P)-competitive semi-online ...
In this section, we give online algorithms for minimizing flow time and job idle time in the uniform penalty ... Non-clairvoyant scheduling to minimize the ...