The DataPath system: A data-centric analytic processing engine for large data warehouses

Proceedings of the ACM SIGMOD International Conference on Management of Data

Volumn , Issue , 2010, Pages 519-530

  Arumugam, Subi ^a   Dobra, Alin ^a   Jermaine, Christopher M ^b   Pansare, Niketan ^b   Perez, Luis ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b RICE UNIVERSITY   (United States)

Author keywords

algorithms

Indexed keywords

DATA ACCESS; DATA CENTRIC; DATA PATHS; DESIGN PRINCIPLES; LARGE DATA; LATENCY COSTS; MEMORY HIERARCHY; MULTIPLE QUERIES; PROCESSING ENGINE; RESEARCH PROTOTYPE;

DATA WAREHOUSES;

EID: 77954753813     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1807167.1807224     Document Type: Conference Paper

References (21)

1. D. Abadi, D. Carney, U. Çetintemel, M. Cherniack, C. Convey, S. Lee, M. Stonebraker, N. Tatbul, and S. Zdonik. Aurora: a new model and architecture for data stream management. VLDB J., 12(2):120-139, 2003. (Pubitemid 37017924)
2. A. Ailamaki, D. DeWitt, M. Hill, and M. Skounakis. Weaving relations for cache performance. In VLDB, pages 169-180, 2001.
3. R. Avnur and J. Hellerstein. Eddies: Continuously adaptive query processing. In SIGMOD, pages 261-272, 2000.
4. G. Candea, N. Polyzotis, and R. Vingralek. A scalable, predictable join operator for highly concurrent data warehouses. PVLDB, 2(1):277-288, 2009.
5. J. Chen, D. DeWitt, F. Tian, and Y. Wang. Niagaracq: A scalable continuous query system for internet databases. In SIGMOD Conference, pages 379-390, 2000.
6. S. Chen, A. Ailamaki, P. Gibbons, and T. Mowry. Improving hash join performance through prefetching. ACM Trans. Database Syst., 32(3):17, 2007.
7. S. C. et al. Telegraphcq: Continuous dataflow processing for an uncertain world. In CIDR, 2003.
8. G. Graefe. Query evaluation techniques for large databases. ACM Comput. Surv., 25(2):73-170, 1993.
9. G. Graefe. Volcano - an extensible and parallel query evaluation system. IEEE TKDE, 6(1):120-135, 1994.
10. S. Harizopoulos and A. Ailamaki. Stageddb: Designing database servers for modern hardware. IEEE Data Eng. Bull., 28(2):11-16, 2005.
11. S. Harizopoulos, V. Shkapenyuk, and A. Ailamaki. Qpipe: A simultaneously pipelined relational query engine. In SIGMOD, pages 383-394, 2005.
12. A. Kemper, G. Moerkotte, K. Peithner, and M. Steinbrunn. Optimizing disjunctive queries with expensive predicates. In SIGMOD Conference, pages 336-347, 1994.
13. W. Litwin. Linear hashing: A new tool for file and table addressing. In VLDB, pages 212-223. IEEE Computer Society, 1980.
14. S. Manegold, P. Boncz, and N. Nes. Cache-conscious radix-decluster projections. In VLDB, pages 684-695, 2004.
15. M. Mannino, P. Chu, and T. Sager. Statistical profile estimation in database systems. ACM Comput. Surv., 20(3):191-221, 1988.
16. T. K. Sellis. Global query optimization. In SIGMOD Conference, pages 191-205, 1986.
17. T. K. Sellis. Multiple-query optimization. ACM Trans. Database Syst., 13(1):23-52, 1988.
18. M. Steinbrunn, K. Peithner, G. Moerkotte, and A. Kemper. Bypassing joins in disjunctive queries. In VLDB, pages 228-238, 1995.
19. P. Unterbrunner, G. Giannikis, G. Alonso, D. Fauser, and D. Kossmann. Predictable performance for unpredictable workloads. PVLDB, 2(1):706-717, 2009.
20. M. Zukowski, S. Héman, and P. Boncz. Architecture-conscious hashing. In DaMoN, page 6, 2006.
21. M. Zukowski, S. Héman, N. Nes, and P. Boncz. Cooperative scans: Dynamic bandwidth sharing in a dbms. In VLDB, pages 723-734, 2007.