New computing applications require nowadays a physical distribution of computing resources. These geographically distributed resources belonging to different organizations must be associated logically in order to solve cooperatively a given problem or to provide a given service. The virtual infrastructure corresponding to the set of these distributed and remote resources and to the inherent underlying networking facilities is called a Grid. Present models do not enable network and other resources such as computing or storage to be co-allocated on demand, nor do they guarantee the Quality of Service. The aim of this thesis is first to provide a review of the state of the art on co-allocation. For that purpose, various environments such as We...
Grid computing provides enough computation power to perform numerical simulations but it is complex ...
We introduce a distributed protocol for resource allocation and scheduling in the computational grid...
Grid scheduling, that is, the allocation of distributed computational resources to user applications...
New computing applications require nowadays a physical distribution of computing resources. These ge...
The recent evolution of network infrastructures allows for more elasticity and dynamicity to network...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
In the last decade, computing grids have brought together storage and servers located across multipl...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Abstract. Co-allocation of performance-guaranteed computing and network re-sources provided by sever...
While grid computing reaches further to geographically separated clusters, data warehouses, and disk...
Distributed large-scale systems such as Grids or Clouds provide large amounts of heterogeneous compu...
The concept of co-allocation provides a simple mechanism to request and bind resources in a coor-din...
The multimedia enabled Grid (MEG) is an extension of the Grid concept to support the deployment of m...
Demanding applications like distributed multi-physics simulations benefit from the combined computat...
Grid computing provides enough computation power to perform numerical simulations but it is complex ...
We introduce a distributed protocol for resource allocation and scheduling in the computational grid...
Grid scheduling, that is, the allocation of distributed computational resources to user applications...
New computing applications require nowadays a physical distribution of computing resources. These ge...
The recent evolution of network infrastructures allows for more elasticity and dynamicity to network...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
In the last decade, computing grids have brought together storage and servers located across multipl...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Abstract. Co-allocation of performance-guaranteed computing and network re-sources provided by sever...
While grid computing reaches further to geographically separated clusters, data warehouses, and disk...
Distributed large-scale systems such as Grids or Clouds provide large amounts of heterogeneous compu...
The concept of co-allocation provides a simple mechanism to request and bind resources in a coor-din...
The multimedia enabled Grid (MEG) is an extension of the Grid concept to support the deployment of m...
Demanding applications like distributed multi-physics simulations benefit from the combined computat...
Grid computing provides enough computation power to perform numerical simulations but it is complex ...
We introduce a distributed protocol for resource allocation and scheduling in the computational grid...
Grid scheduling, that is, the allocation of distributed computational resources to user applications...