In this report we describe a greedy algorithm to schedule parallel jobs that consist of independent, identical, compute-bound tasks on desktop grids that consist of volatile compute resources. We assume that the algorithm has full knowledge of future resource availability and we prove that it achieves the optimal schedule (i.e., the one with the minimum makespan). Although this algorithm cannot be implemented in practice, it is a good comparator to evaluate other scheduling heuristics and the makespan it achieves can be computed in a straightforward manner.Pre-2018 CSE ID: CS2004-079
Abstract: We consider energy-efficient scheduling on multiprocessors, where the speed of each proces...
We consider the problem of processing a given number of tasks on a given number of processors as qui...
Platforms that comprise volatile processors, such as desktop grids, have been traditionally used for...
We consider the problem of scheduling jobs on two parallel identical machines where an optimal sched...
this paper minimizes the makespan, i. e. the maximum completion time required to process all jobs. A...
We are given a nite set of jobs of equal processing times with readiness times and tails and a set o...
This paper describes a new heuristic algorithm for the problem of scheduling n independent jobs on m...
International audienceIn this paper, we study the execution of iterative applications on volatile pr...
The paper deals with a parallel approach to job shop scheduling by a branch and bound methodology us...
International audienceScheduling independent tasks on a parallel platform is a widely-studied proble...
We consider the NP-hard problem of scheduling parallel jobs with release dates on identical parallel...
Abstract. On-chip resource sharing among sibling cores causes resource con-tention on Chip Multiproc...
In this paper we study the execution of iterative applications on volatile processors such as those ...
International audienceThis paper focuses on the resilient scheduling of parallel jobs on high-perfor...
Scheduling tasks/jobs on parallel processors/machines is a classical scheduling problem that is well...
Abstract: We consider energy-efficient scheduling on multiprocessors, where the speed of each proces...
We consider the problem of processing a given number of tasks on a given number of processors as qui...
Platforms that comprise volatile processors, such as desktop grids, have been traditionally used for...
We consider the problem of scheduling jobs on two parallel identical machines where an optimal sched...
this paper minimizes the makespan, i. e. the maximum completion time required to process all jobs. A...
We are given a nite set of jobs of equal processing times with readiness times and tails and a set o...
This paper describes a new heuristic algorithm for the problem of scheduling n independent jobs on m...
International audienceIn this paper, we study the execution of iterative applications on volatile pr...
The paper deals with a parallel approach to job shop scheduling by a branch and bound methodology us...
International audienceScheduling independent tasks on a parallel platform is a widely-studied proble...
We consider the NP-hard problem of scheduling parallel jobs with release dates on identical parallel...
Abstract. On-chip resource sharing among sibling cores causes resource con-tention on Chip Multiproc...
In this paper we study the execution of iterative applications on volatile processors such as those ...
International audienceThis paper focuses on the resilient scheduling of parallel jobs on high-perfor...
Scheduling tasks/jobs on parallel processors/machines is a classical scheduling problem that is well...
Abstract: We consider energy-efficient scheduling on multiprocessors, where the speed of each proces...
We consider the problem of processing a given number of tasks on a given number of processors as qui...
Platforms that comprise volatile processors, such as desktop grids, have been traditionally used for...