This paper addresses issues of task clustering-the coalition of several fine grain tasks into single coarser grain tasks called task clusters+md task cluster scheduling on distributed processors. The performance of various scheduling schemes is studied and compared f o r a variety of workloads. Simulation results indicate that the scheduling policy that gives priority to the cluster with the,smallest cumulative service demand of all its tasks performs better than the other policies examined. 1
Clustering and scheduling of tasks for parallel imple-mentation is a well researched problem. Severa...
We consider a model of a parallel processing system consisting of K distributed homogeneous processo...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much a...
Workstation clusters are emerging as a general-purpose computing platform for the execution of workl...
Today, large scale parallel systems are available at low cost. Many powerful such systems have been ...
In this paper we present a model and simulator for many clusters of heterogeneous PCs belonging to a...
Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks ass...
Distributed computing may be looked at from many points of view. Task scheduling is the viewpoint, w...
In this paper we present a model and simulator for many clusters of heterogeneous PCs belonging to a...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-...
Large computing systems where globally distributed can be best characterized by their dynamic nature...
International audienceToday, large scale parallel systems are available at relatively low cost. Many...
Clustering and scheduling of tasks for parallel imple-mentation is a well researched problem. Severa...
We consider a model of a parallel processing system consisting of K distributed homogeneous processo...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much a...
Workstation clusters are emerging as a general-purpose computing platform for the execution of workl...
Today, large scale parallel systems are available at low cost. Many powerful such systems have been ...
In this paper we present a model and simulator for many clusters of heterogeneous PCs belonging to a...
Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks ass...
Distributed computing may be looked at from many points of view. Task scheduling is the viewpoint, w...
In this paper we present a model and simulator for many clusters of heterogeneous PCs belonging to a...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-...
Large computing systems where globally distributed can be best characterized by their dynamic nature...
International audienceToday, large scale parallel systems are available at relatively low cost. Many...
Clustering and scheduling of tasks for parallel imple-mentation is a well researched problem. Severa...
We consider a model of a parallel processing system consisting of K distributed homogeneous processo...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...