Add to ORKGThe use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. One issue related to Grid based schedulers is their evaluation under different Grid configurations, such as dynamics of tasks and machines, task arrival, scheduling policies, etc. In this paper we present a web application that interfaces the final user with several meta-heuristics based Grid schedulers. The application interface facilities for each user the remote evaluation of the different heuristics, the configuration of the schedulers as well as the configuration of the Grid simulator under which the schedulers are run. The simulation results and traces are graphically represented and stored at the server and can retrieved in different fo...
Grids are facing the challenge of seamless integration of the Grid power into everyday use. One crit...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
The use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. O...
Many computationally intensive research problems can be addressed using a Grid architecture. However...
Grid computing is often out of reach for the very scientists who need these resources because of the...
In this chapter, we review a few important concepts from Grid computing related to scheduling proble...
In this paper we survey computational models for Grid scheduling problems and their resolution using...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
The most important goal of the Resource Scheduling in Grid Computing is to efficiently map the jobs ...
Grid computing generally involves the aggregation of geographically distributed resources in the con...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
AbstractGrid computing generally involves the aggregation of geographically distributed resources in...
Resource management effective scheduling algorithms is also increasing rapidly, particularly in the ...
Grids are facing the challenge of seamless integration of the Grid power into everyday use. One crit...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
The use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. O...
Many computationally intensive research problems can be addressed using a Grid architecture. However...
Grid computing is often out of reach for the very scientists who need these resources because of the...
In this chapter, we review a few important concepts from Grid computing related to scheduling proble...
In this paper we survey computational models for Grid scheduling problems and their resolution using...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
The most important goal of the Resource Scheduling in Grid Computing is to efficiently map the jobs ...
Grid computing generally involves the aggregation of geographically distributed resources in the con...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
AbstractGrid computing generally involves the aggregation of geographically distributed resources in...
Resource management effective scheduling algorithms is also increasing rapidly, particularly in the ...
Grids are facing the challenge of seamless integration of the Grid power into everyday use. One crit...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...