Reservoir sampling over memory-limited stream joins

Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM

Volumn , Issue , 2007, Pages

  Al Kateb, Mohammed ^a   Lee, Byung Suk ^a   Wang, X Sean ^a  

^a University of Vermont   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA STORAGE EQUIPMENT; DATABASE SYSTEMS; DIGITAL SIGNAL PROCESSING; LEARNING ALGORITHMS; MANAGEMENT INFORMATION SYSTEMS; RANDOM PROCESSES; RIVERS; SAMPLING; STATISTICAL METHODS; STATISTICS;

APPROXIMATE QUERY; DATABASE MANAGEMENT; INTERNATIONAL CONFERENCES; JOIN PROCESSING; LIMITED MEMORY; MEMORY REQUIREMENTS; NEGATIVE IMPACTS; RANDOM SAMPLES; RANDOM SAMPLING; SAMPLING ALGORITHMS;

RESERVOIRS (WATER);

EID: 46649105497     PISSN: 10993371     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSDBM.2007.40     Document Type: Conference Paper

References (36)

1. S. Acharya, P. B. Gibbons, and V. Poosala. Congressional samples for approximate answering of group-by queries. In SIGMOD '00, pages 487-498.
2. S. Acharya, P. B. Gibbons, V. Poosala, and S. Ramaswamy. Join synopses for approximate query answering. In SIGMOD '99, pages 275-286.
3. M. Al-Kateb, B. S.Lee, and X. S.Wang. Adaptive-size reservoir sampling over data streams. In SSDBM '07.
4. N. Alon, P. B. Gibbons, Y. Matias, and M. Szegedy. Tracking join and self-join sizes in limited storage. In PODS '99, pages 10-20.
5. B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom. Models and issues in data stream systems. In PODS '02, pages 1-16.
6. B. Babcock, M. Datar, and R. Motwani. Load shedding for aggregation queries over data streams. In ICDE '04, pages 350-361.
7. B. Babcock, M. Datar, and R. Motwani. Sampling from a moving window over streaming data. In SODA '02, pages 633-634.
8. M. M. Cecilia Mascolo and B. Pasztor. Data collection in delay tolerant mobile sensor networks using SCAR. In SenSys '06.
9. I. Chatzigiannakis, A. Kinalis, and S. Nikoletseas. Sink mobility protocols for data collection in wireless sensor networks. In MobiWac '06, pages 52-59.
10. S. Chaudhuri, R. Motwani, and V. Narasayya. On random sampling over joins. In SIGMOD '99, pages 263-274.
11. A. S. D. Jea and M. Srivastava. Multiple controlled mobile elements (data mules) for data collection in sensor networks. In DCOSS '05, pages pages 244-257.
12. A. Das, J. Gehrke, and M. Riedewald. Approximate join processing over data streams. In SIGMOD '03, pages 40-51.
13. A. Dobra, M. Garofalakis, J. Gehrke, and R. Rastogi. Processing complex aggregate queries over data streams. In SIGMOD '02, pages 61-72.
14. P. B. Gibbons. Distinct sampling for highly-accurate answers to distinct values queries and event reports. In VLDB '01, pages 541-550.
15. P. B. Gibbons and Y. Matias. New sampling-based summary statistics for improving approximate query answers. In SIGMOD '98, pages 331-342.
16. P. B. Gibbons, Y. Matias, and V. Poosala. Fast incremental maintenance of approximate histograms. In VLDB '97, pages 466-475.
17. L. Golab and M. T. Ozsu. Issues in data stream management. SIGMOD Rec., 32(2):5-14, 2003.
18. N. M. Greenwood, P.E. A Guide to Chi-Squared Testing. John Wiley and sons, New York., 1996.
19. S. Jain, R. C. Shah, W. Brunette, G. Borriello, and S. Roy. Exploiting mobility for energy efficient data collection in wireless sensor networks. Mob. Netw. Appl., 11(3):327-339, 2006.
20. T. Johnson, S. Muthukrishnan, and I. Rozenbaum. Sampling algorithms in a stream operator. In SIGMOD '05, pages 1-12.
21. P. Juang, H. Oki, Y. Wang, M. Martonosi, L. S. Peh, and D. Rubenstein. Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with zebranet. In ASPLOS-X '02, pages 96-107.
22. J. Kang, J. F. Naughton, and S. D. Viglas. Evaluating window joins over unbounded streams. In ICDE '03, pages 341-352.
23. S. L. Lohr, editor. Sampling: Design and Analysis. Duxbury Press, Pacific Grove, 1999.
24. G. S. Manku and R. Motwani. Approximate frequency counts over data streams. In VLDB '02, pages 346-357.
25. A. McLeod and D. Bellhouse. A convenient algorithm for drawing a simple random sample. Applied Statistics, 32:182184, 1983.
26. R. Motwani, J. Widom, A. Arasu, B. Babcock, S. Babu, M. Datar, G. S. Manku, C. Olston, J. Rosenstein, and R. Varma. Query processing, approximation, and resource management in a data stream management system. In CIDR '03.
27. F. Olken. Random Sampling from Databases. PhD thesis, Mailstop 50B-3238, 1 Cyclotron Road, Berkeley, California 94720, U.S.A., 1993.
28. F. Olken and D. Rotem. Simple random sampling from relational databases. In VLDB '86, pages 160-169.
29. R. Shah, S. Roy, S. Jain, and W. Brunette. Data MULEs: Modeling a three-tier architecture for sparse sensor networks. In IEEE SNPA Workshop '03, 2003.
30. A. A. Somasundara, A. Ramamoorthy, and M. B. Srivastava. Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines. In RTSS '04, pages 296-305.
31. U. Srivastava and J. Widom. Memory-limited execution of windowed stream joins. In VLDB '04, pages 324-335.
32. I. Vasilescu, K. Kotay, D. Rus, M. Dunbabin, and P. Corke. Data collection, storage, and retrieval with an underwater sensor network. In SenSys '05, pages 154-165.
33. J. S. Vitter. Random sampling with a reservoir. ACM Trans. Math. Softw., 11(1):37-57, 1985.
34. J. Xie, J. Yang, and Y Chen, unjoining and caching stochastic streams. In SIGMOD '05, pages 359-370.
35. Y. L. Y. Tirta, Z. Li and S. Bagchi. Efficient collection of sensor data in remote fields using mobile collectors. In ICCCN 2004.
36. D. Yi-Leh Wu, Agrawal and A. El Abbadi. Query estimation by adaptive sampling. In ICDE '02, pages 639-648.