Over the past decade, computational grids have become a popular computing 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. However, their strengths and weaknesses as well as their influence on applications 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 requirements 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 analysi...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Like all computing platforms, grids are in need of a suite of benchmarks by which they can be evalua...
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, ...
Over the past decade, computational grids have become a popular com-puting platform for large-scale,...
Grid architectures are collections of computational and data storage resources linked by communicati...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Grid computing is becoming the natural way to aggregate and share large sets of heterogeneous resour...
This paper seeks to identify some of the technology challenges and research opportunities in assessi...
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...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Like all computing platforms, grids are in need of a suite of benchmarks by which they can be evalua...
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, ...
Over the past decade, computational grids have become a popular com-puting platform for large-scale,...
Grid architectures are collections of computational and data storage resources linked by communicati...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Grid computing is becoming the natural way to aggregate and share large sets of heterogeneous resour...
This paper seeks to identify some of the technology challenges and research opportunities in assessi...
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...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Corporations are using computational GRIDs to improve their operations. Future GRIDs will allow an o...
Paper describes a summer projecy which goal was to find a benchmarking tool that scales linearly to ...
Like all computing platforms, grids are in need of a suite of benchmarks by which they can be evalua...