A new DAG scheduling algorithm named Reverse Clustering has been introduced in this paper. The load balancing problem has been handled in this approach in a more natural way than the edge-zeroing based clustering algorithms. This approach can be applied directly to systems with bounded numbers of processors, thus avoided the multistage scheduling strategy used in most of the state-of-the-art clustering based scheduling algorithms and resulted in a one-step, consistent method with less complexity than former approaches. Initial experimental results with reverse clustering algorithms showed promising potentials as an emerging technique. Keywords: Task scheduling; Multistage method; Clustering; DAG; Kernighan-Lin heuristic; Task allocation. ...
Abstract The Multi-cluster Grid environment is an effective infrastructure for the execution of DAGs...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
For the parallel tasks represented by the Directed Acyclic Graph (DAG), if it is linearly clustered,...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Many modern computing platforms are "task-hungry": Their performance is enhanced by always having as...
International audienceWhen scheduling a directed acyclic graph (DAG) of tasks with communication cos...
In this paper, we survey algorithms that allocate a parallel program represented by an edge-weighted...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
With the strong demand for computing capacity in industrial applications and the rapid development o...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
In this work, a two-step approach is adopted for scheduling tasks with synchronous inter-task commun...
In this article, we revisit the problem of scheduling dy-namically generated directed acyclic graphs...
Abstract The Multi-cluster Grid environment is an effective infrastructure for the execution of DAGs...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
For the parallel tasks represented by the Directed Acyclic Graph (DAG), if it is linearly clustered,...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Many modern computing platforms are "task-hungry": Their performance is enhanced by always having as...
International audienceWhen scheduling a directed acyclic graph (DAG) of tasks with communication cos...
In this paper, we survey algorithms that allocate a parallel program represented by an edge-weighted...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
With the strong demand for computing capacity in industrial applications and the rapid development o...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
In this work, a two-step approach is adopted for scheduling tasks with synchronous inter-task commun...
In this article, we revisit the problem of scheduling dy-namically generated directed acyclic graphs...
Abstract The Multi-cluster Grid environment is an effective infrastructure for the execution of DAGs...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...