Abstract—In this paper, we present a portable sim-ulation environment GridMate for large-scale adaptive scientific applications in multi-site Grid environments. GridMate is a discrete-event based simulator, consisting of abstractions of trace-based applications, computing resources, partitioners and schedulers, a 3D visualiza-tion tool, and user interfaces. It supports the analysis of runtime management strategies that address spatial and temporal heterogeneity in both adaptive scientific applications and geographically distributed resources in Grid computing environments. The targeted applications are a class of emerging large-scale dynamic Grid ap-plications that require large amount of computational resources typically spanning multiple ...
This paper is concerned with the design and implementation of MICOSim, an event-driven simulator wri...
We present the living application, a method to autonomously manage applications on the grid. During ...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
This paper addresses the runtime management of spatial and temporal heterogeneity in both, scientifi...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
Many advances in grid resource management are still required to realize the grid computing vision of...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Grid computing systems are emerging as a consequence of the growing internet connectivity in combina...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Computational grids allow users to share resources of distributed machines, even if those machines b...
The computational Grid has become an important infrastructure as an execution environment for scient...
Structured adaptive mesh refinement (SAMR) techniques offer the potential for accurate solutions of...
International audienceSince the advent of distributed computer systems an active field of research h...
In parallel and distributed computing environment such as "The Grid", anticipating the behavior of t...
This paper is concerned with the design and implementation of MICOSim, an event-driven simulator wri...
We present the living application, a method to autonomously manage applications on the grid. During ...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
This paper addresses the runtime management of spatial and temporal heterogeneity in both, scientifi...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
Many advances in grid resource management are still required to realize the grid computing vision of...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Grid computing systems are emerging as a consequence of the growing internet connectivity in combina...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Computational grids allow users to share resources of distributed machines, even if those machines b...
The computational Grid has become an important infrastructure as an execution environment for scient...
Structured adaptive mesh refinement (SAMR) techniques offer the potential for accurate solutions of...
International audienceSince the advent of distributed computer systems an active field of research h...
In parallel and distributed computing environment such as "The Grid", anticipating the behavior of t...
This paper is concerned with the design and implementation of MICOSim, an event-driven simulator wri...
We present the living application, a method to autonomously manage applications on the grid. During ...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...