International audienceWe consider the Multiple Cluster Scheduling Problem (MCSP), where the objective is to schedule n parallel rigid jobs on N identical clusters, minimizing the maximum completion time (makespan). MCSP is 2-inapproximable (unless P = NP), and several approximation algorithms have already been proposed. However, ratio 2 has only been reached by algorithms that use extremely costly and complex subroutines as "black boxes" which are polynomial and yet impractical due to prohibitive constants. Our objective within this work is to determine a reasonable restriction of MCSP where the inapproximability lower bound could be tightened in almost linear time. Thus, we consider a restriction of MCSP where jobs do not require strictly ...
We consider the problem of scheduling a set of jobs with different release times on parallel machine...
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigne...
International audienceWe present in this article a new approximation algorithm for scheduling a set ...
International audienceWe consider the Multiple Cluster Scheduling Problem (MCSP), where the objectiv...
International audienceThe Multiple Cluster Scheduling Problem corresponds to minimize the maximum co...
The Map-Reduce computing framework rose to prominence with datasets of such size that dozens of mach...
We consider the problem of scheduling n jobs on m machines with the objective of minimizing makespan...
The model of malleable task (MT) was introduced some years ago and has been proved to be an efficien...
AbstractWe consider the problem of scheduling n independent jobs on m parallel machines, where the m...
We consider problem P2||Cmax where the goal is to schedule n jobs on two identical parallel machines...
In this paper we consider a problem of job scheduling on parallel machines with a presence of incomp...
AbstractWe consider the problem of finding a schedule for n-independent identical malleable tasks on...
We consider the following scheduling problem. There arem parallel machines andn independent jobs. Ea...
The Map-Reduce computing framework rose to prominence with datasets of such size that dozens of mach...
International audienceWe consider the problem of minimizing the makespan of a schedule on m parallel...
We consider the problem of scheduling a set of jobs with different release times on parallel machine...
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigne...
International audienceWe present in this article a new approximation algorithm for scheduling a set ...
International audienceWe consider the Multiple Cluster Scheduling Problem (MCSP), where the objectiv...
International audienceThe Multiple Cluster Scheduling Problem corresponds to minimize the maximum co...
The Map-Reduce computing framework rose to prominence with datasets of such size that dozens of mach...
We consider the problem of scheduling n jobs on m machines with the objective of minimizing makespan...
The model of malleable task (MT) was introduced some years ago and has been proved to be an efficien...
AbstractWe consider the problem of scheduling n independent jobs on m parallel machines, where the m...
We consider problem P2||Cmax where the goal is to schedule n jobs on two identical parallel machines...
In this paper we consider a problem of job scheduling on parallel machines with a presence of incomp...
AbstractWe consider the problem of finding a schedule for n-independent identical malleable tasks on...
We consider the following scheduling problem. There arem parallel machines andn independent jobs. Ea...
The Map-Reduce computing framework rose to prominence with datasets of such size that dozens of mach...
International audienceWe consider the problem of minimizing the makespan of a schedule on m parallel...
We consider the problem of scheduling a set of jobs with different release times on parallel machine...
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigne...
International audienceWe present in this article a new approximation algorithm for scheduling a set ...