Enabling Grid technologies for Planck space mission

Abramson, 2000, High performance parametric modeling with Nimrod/G: Killer application for the global grid? Alfieri, 2005, From gridmap-file to VOMS: Managing authorization in a Grid environment, Future. Gener. Comput. Syst., 21, 549, 10.1016/j.future.2004.10.006 E. Ambrosi, A. Ghiselli, G. Taffoni, GDSE: A new data source oriented computing element for grid, in: Proceedings of IASTED Parallel and Distributed Computing and Networks Insbruk 2006, 2006, pp. 517–523 Andreozzi, 2005, GridICE: A monitoring service for grid systems, Future Gener. Comput. Syst. J., Elsevier, 21, 559, 10.1016/j.future.2004.10.005 C. Anglano, T. Ferrari, F. Giacomini, F. Prelz, M. Sgaravatto, WP01 report on current tecnology, DataGrid-01-TED-0102-1_0, DataGrid-D1.1, 2001 Avellino, 2005, The DataGrid workload management system: Challenges and results, J. Grid. Comput., 2, 4 Baiotti, 2005, Three-dimensional relativistic simulations of rotating neutron star collapse to a kerr black hole, Phys. Rev. D, 71, 024035, 10.1103/PhysRevD.71.024035 Bond, 1999, Computing challenges of the cosmic microwave background, Comput. Sci. & Eng., 1, 21, 10.1109/5992.753044 R. Buyya, S. Date, Y. Mizuno-Matsumoto, S. Venugopal, D. Abramson, Composition of distributed brain activity analysis and its on-demand deployment on global grids, Technical Report, Grid Computing and Distributed Systems (GRIDS) Lab, Dept. of Computer Science and Software Engineering, The University of Melbourne, Australia Casanova, 1997, NetSolve: A network server for solving computational science problems, Int. J. Supercomput. Appl. High Perform. Comput., 11 Casanova, 2000, The AppLeS parameter sweep template: user-level middleware for the grid Chandra, 1988, Darwin: Customizable resource management for value-added network services Delabrouille, 1998, Analysis of the accuracy of a destriping method for future cosmic microwave background mapping with the PLANCK SURVEYOR satellite, A&AS, 127, 555D, 10.1051/aas:1998119 A. Forti, S.R. Bavikadi, C. Bigongiari, G. Cabras, A. De Angelis, B. De Lotto, M. Frailis, M. Hardt, H. Kornmayer, M. Kunze, M. Piraccini, Grid services for the MAGIC experiment, in: Proceedings of the 6th International Symposium Frontiers of Fundamental and Computational Physics” FFP6, 2005, astro.ph..3541F Foster, 2001, The anatomy of the grid, The Int. J. HPC Appl., 15, 200 Foster, 1997, Globus: A metacomputing infrastructure toolkit, The Int J. Supercomput. Appl., 11, 115 K.M. Górski, Analysis issues for large CMB data sets, in: Proceedings of the MPA- ESO Cosmology Conference, Garching, Germany, 2–7 August 1998 T. Goodale, G. Allen, G. Lanfermann, J. Masso, T. Radke, E. Seidel, J. Shalf, The cactus framework and toolkit: Design and applications, in: Vector and Parallel Processing — VECPAR 2002, 5th International Conference, Springer, 2003 A. Leto, E. Corso, R. Murri, A. Tarpin, C. Zolcas, S. Cozzini, EGRID project: Experience report on the implementation of a grid infrastructure for the analysis of financial data, in: Proceedings of International Conference on Information Technology: Coding and Computing, ITCC’05 — Volume I, 2005, pp. 268–273 Maino, 1999, The Planck-LFI instrument: Analysis of the 1/f noise and implications for the scanning strategy, A&AS, 140, 383, 10.1051/aas:1999429 N. Mandolesi et al., Planck LFI, A proposal submitted to ESA, 1998 Maris, 2000, Data streams from the low frequency instrument on-board the PLANCK satellite: Statistical analysis and compression efficiency, A&AS, 147, 51, 10.1051/aas:2000289 R. McClatchey, P. Buncic, D. Manset, T. Hauer, F. Estrella, P. Saiz, D. Rogulin, The MammoGrid project grids architecture, in: Proceedings of Computing in High Energy and Nuclear Physics, CHEP03, La Jolla, Ca, USA, March 2003, 2004 I. Merelli, G. Morra, L. Milanesi, Bioinformatics Workflow using ASSIST on GRID, in: Proceedings of NETTAB, Workflows Management: New Abilities for the Biological Information Overflow, October 2005 (in press) Natoli, 2002, Non-iterative methods to estimate the in-flight noise properties of CMB detectors, A&A, 383, 1100, 10.1051/0004-6361:20011788 F. Pacini, S. Beco, JDL attributes, DataGrid-01-TEN-0142-0_2, 2003 J.L. Puget et al., HFI for the Planck mission, A proposal submitted to ESA, 1998 Paecock, 1999 Ranganathan, 2003, Computation scheduling and data replication algorithms for data grids L. Robertson, 2001, CERN/2379/rev B.F. Spencer, A. Elnashai, N. Nakata, H. Saliem, G. Yang, J. Futrelle, W. Glick, D. Marcusiu, K. Ricker, T. Finholt, D. Horn, P. Hubbard, K. Keahey, L. Liming, N. Zaluze, L. Pearlman, E. Stauffe, The MOST experiment: earthquake engineering on the grid, Technical Report NEESgrid-2004-4, 2004 Smallen, 2002, Applying scheduling and tuning to on-line parallel tomography, Sci. Programm., 10 G. Taffoni, D. Maino, G. deGasperis et al., The prototype of a computational Grid for Planck Satellite, in: Astronomical Data Analysis Software and Systems (ADASS) XIV, Proceedings of the Conference, 24–27 October, Pasadena, US, 2005 Vanneschi, 2002, The programming model of ASSIST, an environment for parallel and distributed portable applications, Parallel Computing, 28, 1709, 10.1016/S0167-8191(02)00188-6 S. Venugopal, R. Buyya, L. Winton, A grid service broker for scheduling distributed data-oriented applications on global grids, GRIDS-TR-2004-1, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, February 2004 Vuerli Vuerli Zaldarriaga, 2000, CMBFAST for spatially closed universes, ApJS, 129, 431, 10.1086/313423 J. Yu, R. Buyya, A taxonomy of workflow management systems for grid computing, GRIDS-TR-2005-1, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, 2005