Abstract
Needed are generic, rather than one-off, DBMS solutions automating storage and analysis of data from scientific collaborations.
- Bruno, N. and Chaudhuri, S. Online autoadmin: Physical design tuning. In Proceedings of the ACM International Conference on Management of Data (Beijing, June 11--14). ACM Press, New York, 1067--1069. Google ScholarDigital Library
- Buneman, P., Chapman, A., and Cheney, J. Provenance management in curated databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Chicago, June 27--29). ACM Press, New York, 2006, 539--550. Google ScholarDigital Library
- Buneman, P., Khanna, S., Tajima, K., and Tan, W. Archiving scientific data. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Madison, WI, June 3--6). ACM Press, New York, 2002, 1--12. Google ScholarDigital Library
- Chervenak, A.L., Schuler, R., Ripeanu, M., Amer, M.A., Bharathi, S., Foster, I., Iamnitchi, A., and Kesselman, C. The Globus Replica Location Service: Design and experience. IEEE Transactions on Parallel Distributed Systems 20, 9 (Sept. 2009), 1260--1272. Google ScholarDigital Library
- Cohen, S., Hurley, P., Schulz, K.W., Barth, W.L., and Benton, B. Scientific formats for object-relational database systems: A study of suitability and performance. SIGMOD Records 35, 2 (June 2006), 10--15. Google ScholarDigital Library
- Cudre-Mauroux, P., Kimura, H., Lim, K., Rogers, J., Simakov, R., Soroush, E., Velikhov, P., Wang, D.L., Balazinska, M., Becla, J., DeWitt, D., Heath, B., Maier, D., Madden, S., Patel, J., Stonebraker, M., and Zdonik, S. A demonstration of SciDB: A science-oriented DBMS. Proceedings of VLDB Endowment 2, 2 (Aug. 2009), 1534--1537. Google ScholarDigital Library
- Davidson, S.B. and Freire, J. Provenance and scientific workflows: Challenges and opportunities. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vancouver, B.C., June 9--12). ACM Press, New York, 1345--1350. Google ScholarDigital Library
- Gray, J. and Thomson, D. Supporting Finite-Element Analysis with a Relational Database Backend, Parts i--iii. MSR-TR-2005-49, MSR-TR-2006-21, MSR-TR-2005-151. Microsoft Research, Redmond, WA, 2005.Google Scholar
- Hey, T., Tansley, S., and Tolle, K. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft, Redmond, WA, Oct. 2009.Google Scholar
- Ilyas, I.F., Markl, V., Haas, P., Brown, P., and Aboulnaga, A. CORDS: Automatic discovery of correlations and soft functional dependencies. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Paris, June 13--18). ACM Press, New York, 2004, 647--658. Google ScholarDigital Library
- Kunszt, P.Z., Szalay, A.S., and Thakar, A.R. The hierarchical triangular mesh. In Proceedings of the MPA/ESO/MPE Workshop (Garching, Germany, July 31--Aug. 4). Springer, Berlin, 2000, 631--637.Google Scholar
- Liu, D.T., Franklin, M.J., Abdulla, G.M., Garlick, J., and Miller, M. Data-preservation in scientific workflow middleware. In Proceedings of the 18th International Conference on Scientific and Statistical Database Management (July 3--5). IEEE Computer Society, Washington, DC, 2006, 49--58. Google ScholarDigital Library
- Mishra, C. and Koudas, N. A lightweight online framework for query progress indicators. In Proceedings of the IEEE International Conference on Data Engineering (Istanbul, Apr. 15--20). IEEE Press, 1292--1296.Google Scholar
- Müller, A. and Sternberg, M. Structural annotation of the human genome. In Proceedings of the German Conference on Bioinformatics (Braunschweig, Germany, Oct. 7--10). German Research Center for Biotechnology, Braunschweig, 2001, 211--212.Google Scholar
- Ngu, A.H., Bowers, S., Haasch, N., McPhillips, T., and Critchlow, T. Flexible scientific workflow modeling using frames, templates, and dynamic embedding. In Proceedings of the 20th International Conference on Scientific and Statistical Database Management (Hong Kong, July 9--11). Springer-Verlag, Berlin, Heidelberg, 2008, 566--572. Google ScholarDigital Library
- Office of Data Management Challenge.Report from the DOE Office of Science Data Management Workshops, Mar.--May 2004; http://www.er.doe.gov/ascr/ProgramDocuments/Docs/Final-report-v26.pdfGoogle Scholar
- Olston, C., Reed, B., Srivastava, U., Kumar, R., and Tomkins, A. Pig Latin: A not-so-foreign language for data processing. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vancouver, B.C., June 9--12). ACM Press, New York, 2008, 1099--1110. Google ScholarDigital Library
- Papadomanolakis, S., Dash, D., and Ailamaki, A. Efficient use of the query optimizer for automated physical design. In Proceedings of the 33rd International Conference on Very Large Data Bases (Vienna, Austria, Sept. 23--27). VLDB Endowment, 2007, 1093--1104. Google ScholarDigital Library
- Papadomanolakis, S., Ailamaki, A., Lopez, J.C., Tu, T., O'Hallaron, D.R., and Heber, G. Efficient query processing on unstructured tetrahedral meshes. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Chicago, June 27--29). ACM Press, New York, 2006, 551--562. Google ScholarDigital Library
- Pike, R., Dorward, S., Griesemer, R., and Quinlan, S. Interpreting the data: Parallel analysis with Sawzall. Scientific Programming 13, 4 (Oct. 2005), 277--298. Google ScholarDigital Library
- Shahabi, C., Jahangiri, M., and Banaei-Kashani, F. ProDA: An end-to-end wavelet-based OLAP system for massive datasets. Computer 41, 4 (Apr. 2008), 69--77. Google ScholarDigital Library
- Spaccapietra, S., Parent, C., Damiani, M.L., de Macedo, J. A., Porto, F., and Vangenot, C. A conceptual view on trajectories. Data Knowledge Engineering 65, 1 (Apr. 2008), 126--146. Google ScholarDigital Library
- Stonebraker, M., Bear, C., Çetintemel, U., Cherniack, M., Ge, T., Hachem, N., Harizopoulos, S., Lifter, J., Rogers, J., and Zdonik, S.B. One size fits all? Part 2: Benchmarking studies. In Proceedings of the Conference on Innovative Data Systems Research (Asilomar, Jan. 7--10, 2007), 173--184.Google Scholar
- Szalay, A., Bell, G., VandenBerg, J., et al. GrayWulf: Scalable clustered architecture for data-intensive computing. In Proceedings of the Hawaii International Conference on System Sciences (Waikoloa, Jan. 5--8). IEEE Computer Society Press, 2009, 1--10. Google ScholarDigital Library
Index Terms
- Managing scientific data
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