Add to ORKGComputational grids with multiple batch systems (batch grids) can be powerful infrastructures for executing long-running multicomponent parallel applications. In this paper, we have constructed a middleware framework for executing such long-running applications spanning multiple\ud submissions to the queues on multiple batch systems. We have used our framework for execution of a foremost long-running multi-component application for climate modeling, the Community Climate System Model (CCSM). Our framework coordinates the distribution, execution, migration and restart of the components of CCSM on the multiple queues where the component jobs of the different queues can have different queue waiting and startup times
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
Computational grids are increasingly being used for executing large multi-component scientific appli...
In this work, we evaluate the benefits of using Grids with multiple batch systems to improve the per...
Community Climate System Model (CCSM) is a Multiple Program Multiple Data (MPMD) parallel global cl...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Running a batch system for grid jobs and for local users, we investigate a generic solution to monit...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
eScience applications need to use distributed Grid environments where each component is an individua...
AbstractÐThe Computational Grid [12] has been proposed for the implementation of high-performance ap...
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
Computational grids are increasingly being used for executing large multi-component scientific appli...
In this work, we evaluate the benefits of using Grids with multiple batch systems to improve the per...
Community Climate System Model (CCSM) is a Multiple Program Multiple Data (MPMD) parallel global cl...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Running a batch system for grid jobs and for local users, we investigate a generic solution to monit...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
eScience applications need to use distributed Grid environments where each component is an individua...
AbstractÐThe Computational Grid [12] has been proposed for the implementation of high-performance ap...
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
Recent emerging applications from a wide range of scientific domains often require a very large numb...