Query interactions in database workloads

Proceedings of the 2nd International Workshop on Testing Database Systems, DBTest '09

Volumn , Issue , 2009, Pages

  Ahmad, Mumtaz ^a   Aboulnaga, Ashraf ^a   Babu, Shivnath ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE TESTING; DATABASE WORKLOAD; EXPERIMENTAL APPROACHES; PERFORMANCE TUNING; RESEARCH CHALLENGES; SAMPLED DATA; SIGNIFICANT IMPACTS; STATISTICAL MODELS; TEST CASE;

SAMPLING; TUNING;

DATABASE SYSTEMS;

EID: 70449671288     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1594156.1594170     Document Type: Conference Paper

References (18)

1. S. Agrawal, E. Chu, and V. R. Narasayya. Automatic physical design tuning: Workload as a sequence. In SIGMOD, 2006.
2. M. Ahmad, A. Aboulnaga, S. Babu, and K. Munagala. Modeling and exploiting query interactions in database systems. In CIKM, 2008.
3. Amazon Elastic Computing Cloud. http://aws.amazon.com/ec2/.
4. N. Brownlee and K. C. Claffy. Internet measurement. IEEE Internet Computing, 8(5), 2004.
5. R. Chaiken, B. Jenkins, P. Larson, B. Ramsey, D. Shakib, S. Weaver, and J. Zhou. SCOPE: Easy and efficient parallel processing of massive data sets. In VLDB, 2008.
6. J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. In OSDI, 2004.
7. A. Ganapathi, H. Kuno, U. Dayal, J. Wiener, A. Fox, M. Jordan, and D. Patterson. Predicting multiple metrics for queries: Better decisions enabled by machine learning. In ICDE, 2009.
8. C. R. Hicks and K. V. Turner. Fundamental Concepts in the Design of Experiments. Oxford University Press, 1999.
9. M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: Distributed data-parallel programs from sequential building blocks. In EuroSys, 2007.
10. K. O'Gorman, A. E. Abbadi, and D. Agrawal. Multiple query optimization in middleware using query teamwork. Software - Practice and Experience, 35(4), 2005.
11. C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins. Pig Latin: A not-so-foreign language for data processing. In SIGMOD, 2008.
12. P. Roy, S. Seshadri, S. Sudarshan, and S. Bhobe. Efficient and extensible algorithms for multi query optimization. In SIGMOD, 2008.
13. T. J. Santner, B. J. Williams, and W. Notz. The Design and Analysis of Computer Experiments. Springer, first edition, July 2003.
14. C. Stewart, T. Kelly, and A. Zhang. Exploiting nonstationarity for performance prediction. In EuroSys, 2007.
15. Transaction processing performance council (TPC). http://www.tpc.org/.
16. Weka 3: Data mining software in Java. http://www.cs.waikato.ac.nz/ml/ weka/.
17. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, second edition, June 2005.
18. Q. Zhang, L. Cherkasova, and E. Smirni. A regression-based analytic model for dynamic resource provisioning of multi-tier applications. In ICAC, 2007.