Online Scheduling of Jobs for D-benevolent instances On Identical Machines

نویسندگان

  • Dara Moazzami University of Tehran, College of Engineering, Faculty of Engineering Science
  • I. Mohammadi University of Tehran, Department of Algorithms and Computation.
چکیده مقاله:

We consider online scheduling of jobs with specic release time on m identical machines. Each job has a weight and a size; the goal is maximizing total weight of completed jobs. At release time of a job it must immediately be scheduled on a machine or it will be rejected. It is also allowed during execution of a job to preempt it; however, it will be lost and only weight of completed jobs contribute on prot of the algorithm. In this paper we study D-benevolent instances which is a wide and standard class and we give a new algorithm, that admits (2m + 4)-competitive ratio. It is almost half of the previous known upper bound for this problem.

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عنوان ژورنال

دوره 47  شماره 1

صفحات  27- 36

تاریخ انتشار 2016-06-01

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