Albert Werbrouck

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In the first phase of the European DataGrid project, the 'workload management' package (WP1) implemented a working prototype, providing users with an environment allowing to define and submit jobs to the Grid, and able to find and use the “best” resources for these jobs. Application users have now been experiencing for about a year with this first release(More)
G. Avellino, S. Beco, B. Cantalupo, F. Pacini, A. Terracina, A. Maraschini DATAMAT S.p.A. D. Colling Imperial College London S. Monforte, M. Pappalardo INFN, Sezione di Catania L. Salconi INFN, Sezione di Pisa F. Giacomini, E. Ronchieri INFN, CNAF D. Kouril, A. Krenek, L. Matyska, M. Mulac, J. Pospisil, M. Ruda, Z. Salvet, J. Sitera, M. Vocu CESNET M.(More)
The workload management task of the DataGrid project was mandated to define and implement a suitable architecture for distributed scheduling and resource management in a Grid environment. The result was the design and implementation of a Grid Workload Management System, a super-scheduler with the distinguishing property of being able to take data access(More)
Tracing resource usage by Grid users is of utmost importance especially in the context of large-scale scientific collaborations such as within the High Energy Physics (HEP) community to guarantee fairness of resource sharing, but many difficulties can arise when tracing the resource usage of distributed applications over heterogeneous Grid platforms. These(More)
We present a complete analysis of the integer division of a single unsigned dividend word by a single unsigned divisor word based on double-word multiplication of the dividend by an inverse of the divisor. The well-known advantage of this method yields run-time efficiency, if the inverse of the divisor can be calculated at compile time, since multiplication(More)
The DGAS-Sim(ulator) simulates the components of the grid middleware that are involved in the job scheduling process, reflecting the architecture of the Workload Management System of the European DataGrid project. Its purpose is to study the impact of different resource pricing schemes and resource brokering strategies on workload balancing. In this paper(More)