Over the past decade, computational grids have become a popular com-puting platform for large-scale, resource-intensive applications. Several technologies have been developed and many infrastructures built across the globe to support the increasing number of such applications. How-ever, their strengths and weaknesses as well as their influence on ap-plications performance are not yet well known. There is not enough support for users to choose grids that match their needs nor for system architects and administrators to improve them so that user’s require-ments can be met. In this paper, we present Jawari, an open source, free of charge service which aims at providing means of benchmarking grids around the world in order to enable further ana...
International audienceDecarbonizing the grid is recognized worldwide as one of the objectives for th...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...
Over the past decade, computational grids have become a popular computing platform for large-scale, ...
Over the past decade, computational grids have become a popular computing platform for large-scale, ...
Grid architectures are collections of computational and data storage resources linked by communicati...
Grid computing is becoming the natural way to aggregate and share large sets of heterogeneous resour...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
This paper seeks to identify some of the technology challenges and research opportunities in assessi...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Rapporteurs: - Franck Cappello (Directeur de recherche INRIA, Université de Paris-Sud) - Hervé Guyen...
Abstract — In this work we report on data gathered via a deployment of a monitoring and benchmarking...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
International audienceDecarbonizing the grid is recognized worldwide as one of the objectives for th...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...
Over the past decade, computational grids have become a popular computing platform for large-scale, ...
Over the past decade, computational grids have become a popular computing platform for large-scale, ...
Grid architectures are collections of computational and data storage resources linked by communicati...
Grid computing is becoming the natural way to aggregate and share large sets of heterogeneous resour...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
This paper seeks to identify some of the technology challenges and research opportunities in assessi...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Rapporteurs: - Franck Cappello (Directeur de recherche INRIA, Université de Paris-Sud) - Hervé Guyen...
Abstract — In this work we report on data gathered via a deployment of a monitoring and benchmarking...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
International audienceDecarbonizing the grid is recognized worldwide as one of the objectives for th...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...