Massive data storage resource management in a virtual research environment
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Oct 27, 2010
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Abstract
Managing massive data storage repositories is one of the most important problems to solve in virtual research environments, where the complexity of handling large volumes of data involves providing a high degree of control to ensure that data are located properly and are permanently available for processing. This paper discusses the innovative creation of a massive storage system at a highperformance computer center, which uses the advantages of hierarchical storage for an efficient management of information and a proper utilization of available storage resources. Research results seek to meet the needs of researchers who need to store files resulting from tasks performed on distributed resources, without a concern about technical details of the storage technologies used.
Keywords
Computational grids (computer systems), computer networks – management, shared virtual environmentsComputación distribuida (sistemas para computador), administración de redes de computadores, entornos virtuales compartidos
References
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KAUFMANN, W. J. y SMARR, L. L. Supercomputing and the transformation of science. New York: Scientific American Library, 1993.
LEE, L. Open Globus Primer: introduction to Globus software. Source Grid and Cluster Conference, University of Chicago, Argonne National Laboratory, 2008.
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TAKAOKA, A. et al. International telemicroscopy with a 3MV ultrahigh voltage electron microscope. Ultramicroscopy, 2000, vol. 83, núms. 1-2, pp. 93-101.
VISTA. Visible & Infrared Telescope for Astronomy Project [web en línea].
WIKIPEDIA. Storage Area Network [web en línea]. [Consulta: 25-4-2009].
WULF, W. The national collaboratory. En Towards a national collaboratory. New York: Rockefeller University, 1989.
ATKINSON, M. et al. Data access, integration and management. En The Grid 2: Blueprint for a new computing infrastructure. 2a ed. New York: Elsevier, 2004.
AVERY, P. y FOSTER, I. The GriPhyN project: toward petascale virtual data Grids [Documento en línea]. Technical Report GriPhyN-2001-14, 2001.
AVERY, P. et al. An international virtual-data Grid laboratory for data intensive science [documento en línea]. Technical Report GriPhyN-2001-2, 2001.
BÁEZ, C. y PÉREZ, J. N. Planteamiento de un modelo para los servicios Grid de notificación y registro de información geográfica. Revista Gerencia Tecnológica Informática, 2009, vol. 8, núm. 20.
BARISH, B. C. y WEISS, R. LIGO and the detection of gravitacional waves. Physics Today, 1999, vol. 52, núm. 10, p. 44.
DataTAG. Research and Tecnological Development for a TransAtlantic Grid Project [web en línea].
DEETHS, D. y BRUNETTE, G. Using NTP to control and Synchronize System Clocks [documento en línea]. Palo Alto (CA): Sun Microsytems, 2001.
EU DATAGRID. European Union DataGrid Project [web en línea].
GOBLE, C. A. et al. Enhancing services and applications with knowledge and semantics. En The Grid 2: blueprint for a new computing infrastructure. 2a ed. New York: Elsevier, 2004.
GOBLE, C., GREENHALGH, PETTIFER, S., STEVENS, R., Knowledge Integration: In Silico Experiments in Bioinformatics. The Grid 2. Blueprint for a New Computing Infrastructure. Second Edition. Elsevier, 2004.
GRIDLAB. Proyecto GridLab [web en línea].
HADIDA, M. et al. Advanced networking for telemicroscopy. 10 th Annual Internet Society Conference, Yokohama, Japan, 2000.
HEY, A. y THREFETEN, A. The data deluge: An escience perspective. En Grid computing: making the global infrastructure a reality. New York: Wiley, 2003.
HOYOS, G. y PÉREZ, J. N. Aplicación de los algoritmos genéticos a la clasificación de imágenes de satélite en el marco de los servicios Grid inteligentes estado del arte. Ciencia e Ingeniería Neogranadina, 2007, vol. 17, núm. 2, pp. 59-76.
IBM. IBM Tivoli Storage Manager for space management for UNIX [libro en línea], 2003.
JOHNSTON, W. et al. High-speed distributed data handling for on-line instrumentation systems. Conference on High Performance Networking and Computing. San José, 1997.
KAUFMANN, W. J. y SMARR, L. L. Supercomputing and the transformation of science. New York: Scientific American Library, 1993.
LEE, L. Open Globus Primer: introduction to Globus software. Source Grid and Cluster Conference, University of Chicago, Argonne National Laboratory, 2008.
MONTAÑEZ, S. y PÉREZ, J. N. Modelo de portal para el laboratorio de computación Grid. Revista Ingeniería y Universidad, 2008, vol. 12, núm. 2, pp. 213-228.
National Virtual Observatory (NVO) [web en línea].
Particle Physics Data Grid (PPDG) [web en línea].
STANZIONE, D. y JONES W. Computational mini-Grid at Clemson University. Clemson: Parallel Architecture Research Lab, 2002.
STARLIGHT. The optical START TAP [web en línea].
STEWART, G. A. Grid data management: reliable file transfer services’ performance. Glasgow: University of Glasgow, 2006.
TAKAOKA, A. et al. International telemicroscopy with a 3MV ultrahigh voltage electron microscope. Ultramicroscopy, 2000, vol. 83, núms. 1-2, pp. 93-101.
VISTA. Visible & Infrared Telescope for Astronomy Project [web en línea].
WIKIPEDIA. Storage Area Network [web en línea].
WULF, W. The national collaboratory. En Towards a national collaboratory. New York: Rockefeller University, 1989.
How to Cite
Duarte-López, I. R., & Pérez-Castillo, J. N. (2010). Massive data storage resource management in a virtual research environment. Ingenieria Y Universidad, 14(1). https://doi.org/10.11144/Javeriana.iyu14-1.gram
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Articles