Adaptive query execution for data management in the cloud

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 17-24

  Popescu, Adrian Daniel ^a   Dash, Debabrata ^a   Kantere, Verena ^a   Ailamaki, Anastasia ^a  

^a EPFL   (Switzerland)

Author keywords

Cloud DBMS; Cost model; MapReduce; Parallel DBMS

Indexed keywords

ADAPTIVE ARCHITECTURE; CLOUD SERVICES; COST MODEL; COST MODELS; DATA MANAGEMENT; EXPECTED EXECUTION TIME; FAULT TOLERANCE MECHANISMS; FAULT-TOLERANT; HARDWARE FAILURES; MAP-REDUCE; PARALLEL DBMS; QUERY EXECUTION; QUERY EXECUTION TIME; RESPONSE TIME; TRADITIONAL TECHNIQUES;

DATA HANDLING; FAULT TOLERANCE; FAULT TOLERANT COMPUTER SYSTEMS; KNOWLEDGE MANAGEMENT; QUALITY ASSURANCE; SOFTWARE ARCHITECTURE;

QUERY PROCESSING;

EID: 78651267213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871929.1871933     Document Type: Conference Paper

References (25)

1. A. Abouzeid, K. Bajda-Pawlikowski, D. Abadi, A. Silberschatz, and A. Rasin. HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads. Proc. VLDB Endow., 2(1):922-933, 2009.
2. H. Boral, W. Alexander, L. Clay, G. Copeland, S. Danforth, M. Franklin, B. Hart, M. Smith, and P. Valduriez. Prototyping Bubba, a highly parallel database system. TKDE, 2(1):4-24, 1990.
3. Concurrent Inc. Cascading Project Website: http://www.cascading.org/.
4. T. Condie, N. Conway, P. Alvaro, J. M. Hellerstein, K. Elmeleegy, and R. Sears. MapReduce online. Technical Report UCB/EECS-2009-136, EECS Department, University of California, Berkeley, 2009.
5. J. Dean and S. Ghemawat. MapReduce: simplified data processing on large clusters. In OSDI, 2004.
6. D. J. DeWitt, S. Ghandeharizadeh, D. A. Schneider, A. Bricker, H. I. Hsiao, and R. Rasmussen. The Gamma database machine project. TKDE, 2(1):44-62, 1990.
7. S. Ghemawat, H. Gobioff, and S.-T. Leung. The Google file system. SIGOPS Oper. Syst. Rev., 37(5):29-43, 2003.
8. R. Gilbert and R. Winter. Scale for success: will new requirements max out your data warehouse? Scaling Up, WinterCorp, Newsletter Website: http://www.wintercorp.com/Newsletter/wcnlspring06e.pdf, 2006.
9. MICS Project. MICS Project Website: http://www.mics.org/.
10. C. Monash. eBay's two enormous data warehouses. DBMS2 - A Monash Research Publication. http://www.dbms2.com/2009/04/30/ebays-two-enormous-data- warehouses.
11. C. Monash. Facebook, Hadoop, and Hive. DBMS2 - A Monash Research Publication. http://www.dbms2.com/2009/05/11/facebook-hadoop-and-hive.
12. M. Stonebraker. The case for shared nothing. IEEE Database Eng. Bull., 9(1):4-9, 1986.
13. A. S. Szalay, J. Gray, A. R. Thakar, P. Z. Kunszt, T. Malik, J. Raddick, C. Stoughton, and J. vandenBerg. The SDSS skyserver: public access to the sloan digital sky server data. In SIGMOD, 2002.
14. Tandem Database Group. NonStop SQL: A distributed, high-performance, high-availability implementation of sql. In HPTS, 1989.
15. Teradata Database. Teradata Website: http://www.teradata.com.
16. The Apache Hadoop Framework. Hadoop Project Website: http://hadoop. apache.org.
17. The Apache Hadoop HBase Project. HBase Project Website: http://hadoop.apache.org/hbase/.
18. The Apache Hive Project. Hive Project Website: http://hadoop.apache.org/ hive/.
19. The Apache Pig Project. Apache Pig Project Website: http://hadoop.apache. org/pig/.
20. The Brain Blue Project. Brain Blue Project Website: http://bluebrain. epfl.ch/.
21. A. Thusoo, J. S. Sarma, N. Jain, Z. Shao, P. Chakka, N. Zhang, S. Antony, H. Liu, and R. Murth. Hive: A petabyte scale data warehouse using Hadoop. In ICDE, 2010.
22. A. Thusoo, Z. Shao, S. Anthony, D. Borthakur, N. Jain, J. Sen Sarma, R. Murthy, and H. Liu. Data warehousing and analytics infrastructure at Facebook. In SIGMOD, 2010.
23. Transaction Processing Performance Council. TPC-H Website: http://www.tpc.org/tpch/.
24. X. Wang, T. Malik, R. Burns, S. Papadomanolakis, and A. Ailamaki. A workload-driven unit of cache replacement for mid-tier database caching. In DASFAA, 2007.
25. C. Yang, C. Yen, C. Tan, and S. Madden. Osprey: Implementing MapReduce-style fault tolerance in a shared-nothing distributed database. In ICDE, 2010.