In this paper, we present several bandwidth-aware co-allocating meta-schedulers that take into account inter-cluster network utilization as a means by which to mitigate the slowdown associated with the interaction of simultane-ously co-allocated jobs in a dedicated computational grid. We make use of a bandwidth-centric parallel job commu-nication model that captures the time-varying utilization of shared inter-cluster network resources. By doing so, we are able to evaluate the performance of grid scheduling algo-rithms that focus not only on node resource allocation, but also on shared inter-cluster network bandwidth.
Over the last years, interoperability among resources has been emerged as one of the most challengin...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Abstract. Resource provisioning is one of the main challenges in re-source sharing environments such...
In this paper, we present a bandwidth-centric parallel job communication model that takes into accou...
scheduling In this paper, we utilize a bandwidth-centric job communication model that captures the i...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
Tasks running in computational Grids may require multiple types of resources simultaneously. Thus, c...
Grid computing generally involves the aggregation of geographically distributed resources in the con...
AbstractGrid computing generally involves the aggregation of geographically distributed resources in...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
The field of distributed computer systems, while not new in computer science, is still the subject o...
Computational Grids consist of an aggregation of data and computing resources, which can be co-allo...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Abstract. Resource provisioning is one of the main challenges in re-source sharing environments such...
In this paper, we present a bandwidth-centric parallel job communication model that takes into accou...
scheduling In this paper, we utilize a bandwidth-centric job communication model that captures the i...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
Tasks running in computational Grids may require multiple types of resources simultaneously. Thus, c...
Grid computing generally involves the aggregation of geographically distributed resources in the con...
AbstractGrid computing generally involves the aggregation of geographically distributed resources in...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
The field of distributed computer systems, while not new in computer science, is still the subject o...
Computational Grids consist of an aggregation of data and computing resources, which can be co-allo...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Abstract. Resource provisioning is one of the main challenges in re-source sharing environments such...