LNCS v. 7408 has title: Approximation, randomization, and combinatorial optimization : algorithms and techniques : 15th International Workshop, APPROX 2012 ... proceedingsThis paper revisits the online problem of preemptive scheduling to minimize the total flow time. Previous theoretical results often assume that preemption is free, which is not true for most systems. This paper investigates the complexity of the problem when a processor has to perform a certain amount of overhead (extra work) before it resumes the execution of a job preempted before. Such overhead causes delay to all unfinished jobs. In this paper we first consider single-processor scheduling. We show that no online algorithm can be competitive for total flow time in the p...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...
We consider the problem of minimizing the total weighted flow time on a single machine with preempti...