An approach for automatic data virtualization

IEEE International Symposium on High Performance Distributed Computing, Proceedings

Volumn , Issue , 2004, Pages 24-33

  Weng, Li ^a   Agrawal, Gagan ^a   Catalyurek, Umit ^a   Kurc, Tahsin ^a   Narayanan, Sivaramakrishnan ^a   Saltz, Joel ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DATA VIRTUALIZATION; BINARY FORMAT; GEOGRAPHICALLY DISTRIBUTED SYSTEMS;

AUTOMATION; CODES (SYMBOLS); DATA ACQUISITION; DATABASE SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; GEOLOGICAL REPOSITORIES; METADATA; QUERY LANGUAGES;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 4944259337     PISSN: 10828907     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. P. Baumann, A. Dehmel, P. Furtado, R. Ritsch, and N. Widmann. The multidimensional database system rasdaman. In Proceedings of the 1998 ACM SIGMOD international conference on Management of data, pages 575-577. ACM Press, 1998.
2. P. Baumann, P. Furtado, and R. Ritsch. Geo/environmental and medical data management in the RasDaMan system. In Proceedings of the 23rd International Conference on Very Large Data Bases (VLDB97), pages 548-552, Aug. 1997.
3. R. Baxter, R. Carroll, D. J. Ecklund, B. Gibbins, D. Virdee, and Q. Wen. BinX - A Tool for Retreiving, Searching, and Transforming Structured Binary Files. Available at http://www.edikit.org/binx/pub.htm, 2003.
4. C. Chang, R. Ferreira, A. Sussman, and J. Saltz. Infrastructure for building parallel database systems for multi-dimensional data. In Proceedings of the Second Merged IPPS/SPDP Symposiums. IEEE Computer Society Press, Apr. 1999.
5. A. Chervenak, I. Foster, C. Kesselman, C. Salisbusy, and S. Tuecke. The Data Grid: Towards An Architecture for the Distributed Management and Analysis of Large Scientific Datasets. Journal of Network and Computer Applications, 2001.
6. P. Cornillon, J. Callagher, and T. Sgouros. OpeNDAP: Accessing data in a distributed, heterogeneous environment. Data Science Journal, 2:164-174, November 2003.
7. T. Etzold and P. Argos. SRS: Information retrieval system for molecular biology data banks. Methods in Enzymology, 266:114-128, 1996.
8. HDF Group at NCSA. Introduction to HDF5 Release 1.4. Available at http://hdf.ncsa.uiuc.edu/HDF5/doc/H5.intro.html, 2003.
9. S. Narayanan, U. Catalyurek, T. Kurc, X. Zhang, and J. Saltz. Applying database support for large scale data driven science in distributed environments. In Proceedings of the Fourth International Workshop on Grid Computing (Grid 2003), pages 141-148, Phoenix, Arizona, Nov 2003.
10. S. Narayanan, T. Kurc, U. Catalyurek, and J. Saltz. Database support for data-driven scientific applications in the grid. Parallel Processing Letters, 13(2):245-271, 2003.
11. M. T. Ozsu and P. Valduriez. Distributed and Parallel Database Systems. ACM Computing Surveys, 28(1):125-128, March 1996.
12. J. Saltz, U. Catalyurek, T. Kurc, M. Gray, S. Hastings, S. Langella, S. Narayanan, R. Martino, S. Bryant, M. Peszynska, M. Wheeler, A. Sussman, M. Beynon, C. Hansen, D. Stredney, and D. Sessanna. Driving scientific applications by data in distributed environments. In Dynamic Data Driven Application Systems Workshop, held jointly with ICCS 2003. Melbourne, Australia, June 2003.
13. S. Sarawagi and M. Stonebraker. Efficient organizations of large multidimensional arrays. In Proceedings of the Tenth International Conference on Data Engineering, February 1994.
14. C. Stolte, D. Tang, and P. Hanrahan. Polaris: a system for query, analysis, and visualization of multidimensional relational databases. IEEE Transactions on Visualization and Computer Graphics, 8(1):52-65, Jan/Mar 2002.