We analyze preemptive on-line scheduling against randomized adversaries, where the goal is only to finish an unknown distinguished target job. The problem is motivated by a clinical gene search project, but it leads to theoretical questions of broader interest, including some natural but unusual probabilistic models. For some versions of our problem we get optimal competitive ratios, expressed by given parameters of instances
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
Abstract. The thesis is devoted to the problem of online preemptive scheduling of mul- tiprocessor j...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
Suppose that a player can make progress on n jobs, and her goal is to complete a target job among th...
We consider the problem of scheduling a maximum profit selection of jobs on m identical machines. Jo...
Abstract. In the job shop scheduling problem (JSP), a finite set of jobs is processed on a finite se...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We introduce a novel adversarial model for scheduling with explorable uncertainty. In this model, th...
We consider a bene t model for on-line preemptive scheduling. In this model jobs arrive at the on-...
We consider the scheduling problem of minimizing the average weighted completion time on identical p...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
We consider the NP-hard preemptive single-machine scheduling problem to minimize the total weighted ...
Abstract. We study the problem of processor scheduling for n parallel jobs applying the method of co...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
Abstract. The thesis is devoted to the problem of online preemptive scheduling of mul- tiprocessor j...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
Suppose that a player can make progress on n jobs, and her goal is to complete a target job among th...
We consider the problem of scheduling a maximum profit selection of jobs on m identical machines. Jo...
Abstract. In the job shop scheduling problem (JSP), a finite set of jobs is processed on a finite se...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We introduce a novel adversarial model for scheduling with explorable uncertainty. In this model, th...
We consider a bene t model for on-line preemptive scheduling. In this model jobs arrive at the on-...
We consider the scheduling problem of minimizing the average weighted completion time on identical p...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
We consider the NP-hard preemptive single-machine scheduling problem to minimize the total weighted ...
Abstract. We study the problem of processor scheduling for n parallel jobs applying the method of co...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
Abstract. The thesis is devoted to the problem of online preemptive scheduling of mul- tiprocessor j...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...