Scheduling precedence-constrained tasks is a classical problem that has been studied for more than fifty years. However, little progress has been made in the setting where there are communication delays between tasks. Results for the case of identical machines were derived nearly thirty years ago, and yet no results for related machines have followed. In this work, we propose a new scheduler, Generalized Earliest Time First (GETF), and provide the first provable, worst-case approximation guarantees for the goals of minimizing both the makespan and total weighted completion time of tasks with precedence constraints on related machines with machine-dependent communication times
We consider various single machine scheduling problems in which the processing time of a job depends...
We study non-preemptive scheduling problems on identical parallel machines and uniformly related mac...
In this paper, we consider the problem of scheduling and mapping precedence-constrained tasks to a n...
Jobs in large-scale machine learning platforms are expressed using a computational graph of tasks wi...
Jobs in large-scale machine learning platforms are expressed using a computational graph of tasks wi...
AbstractWe investigate the problem of minimizing the makespan (resp. the sum of completion time) for...
A well studied and difficult class of scheduling problems concerns parallel machines and precedence ...
AbstractA single-machine scheduling problem with precedence delays is analyzed. A set of n tasks is ...
We consider the problem of efficiently scheduling jobs with precedence constraints on a set of ident...
We investigate one-machine scheduling problems subject to generalized prece-dence constraints. A pre...
AbstractWe investigate the problem of minimizing the makespan (resp. the sum of completion time) for...
Scheduling precedence constrained jobs on identical parallel machines is a well investigated problem...
AbstractWe study the problem of minimizing the makespan for the precedence multiprocessor constraine...
University of Technology Sydney. Faculty of Science.This work examines in depth a collection of rela...
We consider various single machine scheduling problems in which the processing time of a job depends...
We consider various single machine scheduling problems in which the processing time of a job depends...
We study non-preemptive scheduling problems on identical parallel machines and uniformly related mac...
In this paper, we consider the problem of scheduling and mapping precedence-constrained tasks to a n...
Jobs in large-scale machine learning platforms are expressed using a computational graph of tasks wi...
Jobs in large-scale machine learning platforms are expressed using a computational graph of tasks wi...
AbstractWe investigate the problem of minimizing the makespan (resp. the sum of completion time) for...
A well studied and difficult class of scheduling problems concerns parallel machines and precedence ...
AbstractA single-machine scheduling problem with precedence delays is analyzed. A set of n tasks is ...
We consider the problem of efficiently scheduling jobs with precedence constraints on a set of ident...
We investigate one-machine scheduling problems subject to generalized prece-dence constraints. A pre...
AbstractWe investigate the problem of minimizing the makespan (resp. the sum of completion time) for...
Scheduling precedence constrained jobs on identical parallel machines is a well investigated problem...
AbstractWe study the problem of minimizing the makespan for the precedence multiprocessor constraine...
University of Technology Sydney. Faculty of Science.This work examines in depth a collection of rela...
We consider various single machine scheduling problems in which the processing time of a job depends...
We consider various single machine scheduling problems in which the processing time of a job depends...
We study non-preemptive scheduling problems on identical parallel machines and uniformly related mac...
In this paper, we consider the problem of scheduling and mapping precedence-constrained tasks to a n...