Packing light: Portable workload performance prediction for the cloud

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2013, Pages 258-265

  Duggan, Jennie ^a   Chi, Yun ^b   Hacigumus, Hakan ^b   Zhu, Shenghuo ^b   Cetintemel, Ugur ^a  

^a BROWN UNIVERSITY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL DATABASE; DATABASE WORKLOAD; HARDWARE CONFIGURATIONS; HARDWARE PLATFORM; MODELING AND PREDICTIONS; PERFORMANCE PREDICTION; STATE OF THE ART; TRAINING OVERHEAD;

HARDWARE; QUERY PROCESSING; TECHNICAL PRESENTATIONS;

FORECASTING;

EID: 84881416968     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2013.6547460     Document Type: Conference Paper

References (28)

1. H. Hacigumus, J. Tatemura, W.-P. Hsiung, H. J. Moon, O. Po, A. Sawires, Y. Chi, and H. Jafarpour, "CloudDB: One size fits all revived," in SERVICES'10.
2. P. Xiong, Y. Chi, S. Zhu, H. J. Moon, C. Pu, and H. Hacigumus, "Intelligent management of virtualized resources for database systems in cloud environment," in ICDE '11.
3. P. Xiong, Y. Chi, S. Zhu, J. Tatemura, C. Pu, and H. Hacigumus, "ActiveSLA: a profit-oriented admission control framework for databaseas-A-service providers," in SOCC '11.
4. N. Zhang, J. Tatemura, J. M. Patel, and H. Hacigumus, "Towards costeffective storage provisioning for DBMSs," PVLDB '11.
5. C. Curino, E. P. C. Jones, R. A. Popa, N. Malviya, E. Wu, S. Madden, H. Balakrishnan, and N. Zeldovich, "Relational cloud: a database service for the cloud," in CIDR, 2011.
6. C. Curino, E. P. Jones, S. Madden, and H. Balakrishnan, "Workloadaware database monitoring and consolidation," in SIGMOD '11.
7. Amazon, "Amazon web services," http://aws.amazon.com/.
8. Rackspace, "Open cloud computing," http://rackspace.com/.
9. M. Ahmad, A. Aboulnaga, S. Babu, and K. Munagala, "Modeling and exploiting query interactions in database systems," in CIKM '08.
10. "Qshuffler: Getting the query mix right," ICDE '08.
11. M. Ahmad, S. Duan, A. Aboulnaga, and S. Babu, "Interaction-aware prediction of business intelligence workload completion times," ICDE '10.
12. C. Gupta, A. Mehta, and U. Dayal, "PQR: Predicting Query Execution Times for Autonomous Workload Management," IEEE-ICAC '08.
13. J. Duggan, U. Cetintemel, O. Papaemmanouil, and E. Upfal, "Performance prediction for concurrent database workloads," in SIGMOD '11.
14. M. Akdere, U. Cetintemel, M. Riondato, E. Upfal, and S. Zdonik, "Learning-based query performance modeling and prediction," in ICDE '12.
15. A. Ganapathi, H. Kuno, U. Dayal, J. L. Wiener, A. Fox, M. Jordan, and D. Patterson, "Predicting multiple metrics for queries: Better decisions enabled by machine learning," in ICDE '09.
16. W. Wu, Y. Chi, S. Zhu, J. Tatemura, H. Hacigumus, and J. F. Naughton, "Predicting query execution time: are optimizer cost models really unusable?" in ICDE'13.
17. S. Elnaffar, P. Martin, and R. Horman, "Automatically classifying database workloads," CIKM '02.
18. B. Schroeder, A. Wierman, and M. Harchol-Balter, "Open versus closed: a cautionary tale," in NSDI'06.
19. M. Ahmad, A. Aboulnaga, S. Babu, and K. Munagala, "Interactionaware scheduling of report-generation workloads," VLDB Journal, vol. 20, no. 4, 2011.
20. S. Harizopoulos, D. J. Abadi, S. Madden, and M. Stonebraker, "OLTP through the looking glass, and what we found there," in SIGMOD '08.
21. M. Ahmad and I. T. Bowman, "Predicting system performance for multitenant database workloads," in DBTest '11.
22. S. Duan, V. Thummala, and S. Babu, "Tuning database configuration parameters with iTuned," PVLDB '09.
23. A. A. Soror, U. F. Minhas, A. Aboulnaga, K. Salem, P. Kokosielis, and S. Kamath, "Automatic virtual machine configuration for database workloads," in SIGMOD Conference, 2008, pp. 953-966.
24. S. Chaudhuri, V. Narasayya, and R. Ramamurthy, "Estimating progress of execution for sql queries," in SIGMOD '04, pp. 803-814.
25. G. Luo, J. Naughton, and P. Yu, "Multi-query sql progress indicators," in EDBT 2006.
26. G. Luo, J. F. Naughton, C. J. Ellmann, and M. W. Watzke, "Toward a progress indicator for database queries," in SIGMOD '04, pp. 791-802.
27. S. Chaudhuri, R. Kaushik, and R. Ramamurthy, "When can we trust progress estimators for SQL queries?" in SIGMOD '05.
28. D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender Systems: An Introduction. Cambridge University Press, 2010.