In the machine cover problem we are given m machines and n jobs to be assigned (scheduled) so that the smallest load of a machine is as large as possible. A semi-online algorithm is given in advance the optimal value of the smallest load for the given instance, and then the jobs are scheduled one by one as they arrive, without any knowledge of the following jobs.We present a deterministic algorithm with competitive ratio 11/6 = 1.834 for machine covering with any number of machines and a lower bound showing that no deterministic algorithm can have a competitive ratio below 43/24 = 1.791
The single machine semi-online scheduling problem with the objective of minimizing total completion ...
We investigate an online version of a basic scheduling problem where a set of jobs has to be schedul...
AbstractThis paper considers the online scheduling problem with machine cost. We are given a sequenc...
In the machine cover problem we are given m machines and n jobs to be assigned (scheduled) so that t...
AbstractThe machine covering problem deals with partitioning a sequence of jobs among a set of machi...
This paper investigates machine covering problem on m> 3 parallel in-dentical machines with nonsi...
AbstractThis paper investigates the semi-online machine covering problems on m≥3 parallel identical ...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
AbstractIn this paper, we consider the semi-online preemptive scheduling problem with decreasing job...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
We study online preemptive makespan minimization on m parallel machines, where the (multiprocessor) ...
Mgr. Tomáš Ebenlendr Combinatorial algorithms for online problems: Semi-online scheduling on related...
The single machine semi-online scheduling problem with the objective of minimizing total completion ...
We investigate an online version of a basic scheduling problem where a set of jobs has to be schedul...
AbstractThis paper considers the online scheduling problem with machine cost. We are given a sequenc...
In the machine cover problem we are given m machines and n jobs to be assigned (scheduled) so that t...
AbstractThe machine covering problem deals with partitioning a sequence of jobs among a set of machi...
This paper investigates machine covering problem on m> 3 parallel in-dentical machines with nonsi...
AbstractThis paper investigates the semi-online machine covering problems on m≥3 parallel identical ...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
AbstractIn this paper, we consider the semi-online preemptive scheduling problem with decreasing job...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
We study online preemptive makespan minimization on m parallel machines, where the (multiprocessor) ...
Mgr. Tomáš Ebenlendr Combinatorial algorithms for online problems: Semi-online scheduling on related...
The single machine semi-online scheduling problem with the objective of minimizing total completion ...
We investigate an online version of a basic scheduling problem where a set of jobs has to be schedul...
AbstractThis paper considers the online scheduling problem with machine cost. We are given a sequenc...