Add to ORKGAbstract The Multi-cluster Grid environment is an effective infrastructure for the execution of DAGs composed by parallel tasks. The scheduling of DAGs in these environments is a challenging task. This paper details two scheduling strategies: one which maps parallel tasks to different clusters and another to a single cluster. Both approaches were evaluated with five workloads in a multi-cluster environment
Due to their potential to deliver increased performance over single-core processors, multi-core proc...
Application areas of multi cluster grid are increases day by day because of the seamless and scalabl...
The paper addresses the dynamic scheduling of parallel jobs with quality-of-service demands (soft-de...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
International audienceApplications structured as parallel task graphs exhibit both data and task par...
Emerging computational platforms enable a set of geographically distributed computers with different...
For the parallel tasks represented by the Directed Acyclic Graph (DAG), if it is linearly clustered,...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Abstract. Emerging computational platforms enable a set of geographically distributed computers with...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
A new DAG scheduling algorithm named Reverse Clustering has been introduced in this paper. The load...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceMany scientific applications can be structured as Parallel Task Graphs (PTGs),...
Due to their potential to deliver increased performance over single-core processors, multi-core proc...
Application areas of multi cluster grid are increases day by day because of the seamless and scalabl...
The paper addresses the dynamic scheduling of parallel jobs with quality-of-service demands (soft-de...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
International audienceApplications structured as parallel task graphs exhibit both data and task par...
Emerging computational platforms enable a set of geographically distributed computers with different...
For the parallel tasks represented by the Directed Acyclic Graph (DAG), if it is linearly clustered,...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Abstract. Emerging computational platforms enable a set of geographically distributed computers with...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
A new DAG scheduling algorithm named Reverse Clustering has been introduced in this paper. The load...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceMany scientific applications can be structured as Parallel Task Graphs (PTGs),...
Due to their potential to deliver increased performance over single-core processors, multi-core proc...
Application areas of multi cluster grid are increases day by day because of the seamless and scalabl...
The paper addresses the dynamic scheduling of parallel jobs with quality-of-service demands (soft-de...