The DataGrid Workload Management System: Challenges and Results

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 di...

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Bibliographic Details
Published in:	Journal of grid computing Vol. 2; no. 4; pp. 353 - 367
Main Authors:	Avellino, G., Beco, S., Cantalupo, B., Maraschini, A., Pacini, F., Sottilaro, M., Terracina, A., Colling, D., Giacomini, F., Ronchieri, E., Gianelle, A., Mazzucato, M., Peluso, R., Sgaravatto, M., Guarise, A., Piro, R., Werbrouck, A., Kouřil, D., Křenek, A., Matyska, L., Mulač, M., Pospíšil, J., Ruda, M., Salvet, Z., Sitera, J., Škrabal, J., Voců, M., Mezzadri, M., Prelz, F., Monforte, S., Pappalardo, M.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01-12-2004
Subjects:	Architecture Resource management Resource scheduling Technological planning Workload Workloads
Online Access:	Get full text
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Summary:	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 requirements into account when scheduling jobs to the available Grid resources. Many novel issues in various fields were faced such as resource management, resource reservation and co-allocation, Grid accounting. In this paper, the architecture and the functionality provided by the DataGrid Workload Management System are presented.
ISSN:	1570-7873 1572-9184
DOI:	10.1007/s10723-005-0150-7