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Large scale distributed systems like Grids are difficult to study only from theoretical models and simulators. Most Grids deployed at large scale are production platforms that are inappropriate research tools because of their limited re-configuration, control and monitoring capabilities. In this paper, we present Grid'5000, a 5000 CPUs nationwide(More)
Large scale distributed systems like Grid gather several characteristics making them difficult to study only from theoretical models and simulators. Most of Grid deployed at large scale are production platforms making them inappropriate research tools because of their limited reconfig-uration, control and monitoring capabilities. In this paper , we present(More)
Among existing grid middleware approaches, one simple, powerful, and flexible approach consists of using servers available in different administrative domains through the classical client-server or Remote Procedure Call (RPC) paradigm. Network Enabled Servers implement this model also called GridRPC. Clients submit computation requests to a scheduler whose(More)
This article is devoted to the run-time redistribution of one-dimensional arrays that are distributed in a block-cyclic fashion over a processor grid. While previous studies have concentrated on eeciently generating the communication messages to be exchanged by the processors involved in the redistribution, we focus on the scheduling of those messages: how(More)
The Cloud phenomenon brings along the cost-saving benefit of dynamic scaling. As a result, the question of efficient resource scaling arises. Prediction is necessary as the virtual resources that Cloud computing uses have a setup time that is not negligible. We propose an approach to the problem of workload prediction based on identifying similar past(More)
Mixed-parallelism, the combination of data-and task-parallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms comprising multiple compute clusters. While multi-cluster platforms are predominantly heterogeneous, previous work on mixed-parallel application scheduling targets only homogeneous(More)
This paper presents a tool for dynamic forecasting of Network-Enabled Servers performance. FAST (Fast Agent's System Timer) is a software package allowing client applications to get an accurate forecast of communication and computation times and memory use in a heterogeneous environment. It relies on low level software packages, i.e., network and host(More)
Many scientic applications are described through workow structures. Due to the increasing level of parallelism oered by modern computing infrastructures, workow applications now have to be composed not only of sequential programs, but also of parallel ones. Cloud platforms bring on-demand resource provisioning and pay-as-you-go payment charging. Then the(More)
SUMMARY Analyzing and understanding the performance behavior of parallel applications on parallel computing platforms is a long-standing concern in the High Performance Computing community. When the targeted platforms are not available, simulation is a reasonable approach to obtain objective performance indicators and explore various hypothetical scenarios.(More)
The GridRPC model [17] is an emerging standard promoted by the Global Grid Forum (GGF) † that defines how to perform remote client-server computations on a distributed architecture. In this model data are sent back to the client at the end of every computation. This implies unnecessary communications when computed data are needed by an other server in(More)