Henri Casanova

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The Computational Grid provides a promising platform for the eÆcient execution of parameter sweep applications over very large p arameter spaces. Sche duling such applications is challenging because target resour ces are heter ogene ous,because their load and availability varies dynamically, and because independent tasks may share common data les. In this p(More)
We presented the SimGrid simulation framework whose goal is to provide a generic evaluation tool for large-scale distributed computing. Its main components are: two APIs for researchers who study algorithm and need to prototype simulations quickly, and two for developers who can develop applications in the comfort of the simulated world before deploying(More)
Ensembles of distributed, heterogeneous resources, also known as Computational Grids, have emerged as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single(More)
Since the advent of distributed computer systems an active field of research has been the investigation of scheduling strategies for parallel applications. The common approach is to employ scheduling heuristics that approximate an optimal schedule. Unfortunately, it is not possible to obtain analytical results to compare and select appropriate heuristics(More)
Summary form only given. Desktop resources are attractive for running compute-intensive distributed applications. Several systems that aggregate these resources in desktop grids have been developed. While these systems have been successfully used for many high throughput applications there has been little insight into the detailed temporal structure of CPU(More)
This paper discusses preliminary work on standardizing and implementing a remote procedure call (RPC) mechanism for grid computing. The GridRPC API is designed to address one of the factors that has hindered widespread acceptance of grid computing – the lack of a standardized, portable, and simple programming interface. In this paper, we examine two(More)
The Computational Grid is a promising platform for the efficient execution of parameter sweep applications over large parameter spaces. To achieve performance on the Grid, such applications must be scheduled so that shared data files are strategically placed to maximize re-use, and so that the application execution can adapt to the deliverable performance(More)
Desktop grids are popular platforms for high throughput applications, but due their inherent resource volatility it is difficult to exploit them for applications that require rapid turnaround. Efficient desktop grid execution of short-lived applications is an attractive proposition and we claim that it is achievable via intelligent resource selection. We(More)