The concept of co-allocation provides a simple mechanism to request and bind resources in a coor-dinated fashion in Grids across virtual organization boundaries. We have designed an advanced multi-stage co-allocation strategy based on resource hier-archies defined through user-specific patterns. The model manages simple flows between resources to perform managed job executions. We demonstrate the usefulness of our model on several examples and discuss advantages and disadvantages of the model
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
New computing applications require nowadays a physical distribution of computing resources. These ge...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
Abstract—Co-allocation is a fundamental infrastructure to aggregate heterogeneous and distributed re...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
The vision of transparent, on-demand resource utilization in distributed and open environments requi...
The resources in a grid are distributed in multiple autonomic domains. Hence, it’s always a time con...
The vision of transparent, on-demand resource utiliza-tion in distributed and open environments requ...
The increasing needs for computational power in areas such as weather simulation, genomics or Intern...
In this paper we consider the problem of maximising utility in linked market-driven distributed and ...
In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simu...
In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simu...
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
New computing applications require nowadays a physical distribution of computing resources. These ge...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
Abstract—Co-allocation is a fundamental infrastructure to aggregate heterogeneous and distributed re...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
The vision of transparent, on-demand resource utilization in distributed and open environments requi...
The resources in a grid are distributed in multiple autonomic domains. Hence, it’s always a time con...
The vision of transparent, on-demand resource utiliza-tion in distributed and open environments requ...
The increasing needs for computational power in areas such as weather simulation, genomics or Intern...
In this paper we consider the problem of maximising utility in linked market-driven distributed and ...
In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simu...
In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simu...
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...