The 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...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
Abstract—An efficient management of the resources in Grid computing crucially depends on the efficie...
The use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. O...
In this paper we survey computational models for Grid scheduling problems and their resolution using...
Grid computing is often out of reach for the very scientists who need these resources because of the...
Computational grids allow users to share resources of distributed machines, even if those machines b...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
In this chapter, we review a few important concepts from Grid computing related to scheduling proble...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Many computationally intensive research problems can be addressed using a Grid architecture. However...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
The nearly optimal, interoperable utilization of various grid resources play an important role in th...
The most important goal of the Resource Scheduling in Grid Computing is to efficiently map the jobs ...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
Abstract—An efficient management of the resources in Grid computing crucially depends on the efficie...
The use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. O...
In this paper we survey computational models for Grid scheduling problems and their resolution using...
Grid computing is often out of reach for the very scientists who need these resources because of the...
Computational grids allow users to share resources of distributed machines, even if those machines b...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
In this chapter, we review a few important concepts from Grid computing related to scheduling proble...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Many computationally intensive research problems can be addressed using a Grid architecture. However...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
The nearly optimal, interoperable utilization of various grid resources play an important role in th...
The most important goal of the Resource Scheduling in Grid Computing is to efficiently map the jobs ...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
Abstract—An efficient management of the resources in Grid computing crucially depends on the efficie...