YCSB+T: Benchmarking web-scale transactional databases

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2014, Pages 223-230

  Dey, Akon ^a   Fekete, Alan ^a   Nambiar, Raghunath ^b   Röhm, Uwe ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b CISCO SYSTEMS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

QUERY PROCESSING; RELATIONAL DATABASE SYSTEMS; TECHNICAL PRESENTATIONS; USER EXPERIENCE;

CLOUD SERVICES; DATABASE APPLICATIONS; KEY-VALUE STORES; NOSQL DATABASE; TRANSACTION SUPPORT; TRANSACTIONAL DATABASE; VALIDATION STAGES;

BENCHMARKING;

EID: 84901788475     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2014.6818330     Document Type: Conference Paper

References (37)

1. B. Hayes, "Cloud computing," Commun. ACM, vol. 51, pp. 9-11, July 2008. [Online]. Available: http://doi.acm.org/10.1145/1364782.1364786
2. Amazon S3 API Reference," 2011. [Online]. Available: http://docs.amazonwebservices.com/AmazonS3/latest/API/
3. F. Chang et al., "Bigtable: A Distributed Storage System for Structured Data," ACM Trans. Comput. Syst., vol. 26, no. 2, pp. 1-26, Jun. 2008. [Online]. Available: http://dx.doi.org/10.1145/1365815.1365816
4. B. F. Cooper, R. Ramakrishnan et al., "PNUTS: Yahoo!s hosted data serving platform," Proc. VLDB Endow., vol. 1, pp. 1277-1288, August 2008. [Online]. Available: http://dx.doi.org/10.1145/1454159.1454167
5. W. Vogels, "Eventually consistent," Queue, vol. 6, pp. 14-19, October 2008. [Online]. Available: http://doi.acm.org/10.1145/1466443.1466448
6. B. Calder et al., "Windows Azure Storage: a highly available cloud storage service with strong consistency," in SOSP11, 2011, pp. 143-157. [Online]. Available: http://doi.acm.org/10.1145/2043556.2043571
7. Google Cloud Storage," 2013. [Online]. Available: https://developers.google.com/storage/docs/overview
8. D. Peng and F. Dabek, "Large-scale incremental processing using distributed transactions and notifications," in OSDI10, 2010, pp. 1-15. [Online]. Available: http://dl.acm.org/citation.cfm?id=1924943.1924961
9. S. Das et al., "G-Store: a scalable data store for transactional multi key access in the cloud," in SoCC 10, 2010, pp. 163-174. [Online]. Available: http://doi.acm.org/10.1145/1807128.1807157
10. W. Zhou et al., "CloudTPS: Scalable Transactions for Web Applications in the Cloud," IEEE Transactions on Services Computing, 2011.
11. J. J. Levandoski et al., "Deuteronomy: Transaction support for cloud data," in CIDR 11.
12. J. Baker et al., "Megastore: Providing Scalable, Highly Available Storage for Interactive Services," in CIDR, Jan. 2011, pp. 223-234.
13. J. C. Corbett, J. Dean et al., "Spanner: Googles globally-distributed database," in OSDI 12, 2012, pp. 251-264. [Online]. Available: http://dl.acm.org/citation.cfm?id=2387880.2387905
14. Transaction Processing Performance Council, "TPC-C Benchmark Specification," http://www.tpc.org/tpcc, 2005.
15. -, "TPC-E Benchmark Specification," http://www.tpc.org/tpce, 2007.
16. B. F. Cooper, A. Silberstein et al., "Benchmarking cloud serving systems with YCSB," in SoCC 10, 2010, pp. 143-154. [Online]. Available: http://doi.acm.org/10.1145/1807128.1807152
17. E. A. Brewer, "Towards robust distributed systems (abstract)," in Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing, ser. PODC 00. New York, NY, USA: ACM, 2000, pp. 7-. [Online]. Available: http://doi.acm.org/10.1145/343477.343502
18. G. DeCandia et al., "Dynamo: amazons highly available keyvalue store," in SOSP 07, 2007, pp. 205-220. [Online]. Available: http://doi.acm.org/10.1145/1294261.1294281
19. A. Lakshman and P. Malik, "Cassandra: a decentralized structured storage system," SIGOPS Oper. Syst. Rev., vol. 44, pp. 35-40, April 2010. [Online]. Available: http://doi.acm.org/10.1145/1773912.1773922
20. J. Rao et al., "Using paxos to build a scalable, consistent, and highly available datastore," Proc. VLDB Endow., vol. 4, pp. 243-254, January 2011. [Online]. Available: http://dl.acm.org/citation.cfm?id=1938545. 1938549
21. W. Lloyd et al., "Dont settle for Eventual: Scalable Causal Consistency for Wide-Area Storage with COPS," in SOSP 11, Oct. 2011.
22. J. Cowling and B. Liskov, "Granola: low-overhead distributed transaction coordination," in USENIX ATC12, 2012, pp. 21-21. [Online]. Available: http://dl.acm.org/citation.cfm?id=2342821.2342842
23. M. Brantner, D. Florescu et al., "Building a database on S3," in SIGMOD 08, 2008, pp. 251-264. [Online]. Available: http://doi.acm.org/10. 1145/1376616.1376645
24. R. Escriva, B. Wong et al., "Warp: Multi-Key Transactions for Key-Value Stores," United Networks, LLC, Tech. Rep., 05 2013. [Online]. Available: http://hyperdex.org/papers/warp.pdf
25. D. B. Lomet, A. Fekete et al., "Unbundling transaction services in the cloud." in CIDR 09, 2009. [Online]. Available: http://dblp.unitrier. de/db/conf/cidr/cidr2009.html#FWZ09
26. H. Berenson et al., "A critique of ANSI SQL isolation levels," in SIGMOD 95, 1995, pp. 1-10. [Online]. Available: http://doi.acm.org/10.1145/ 223784.223785
27. F. Junqueira et al., "Lock-free transactional support for large-scale storage systems," in IEEE/IFIP DSN-W 11, June 2011, pp. 176-181.
28. A. Dey, A. Fekete, and U. Rohm, "Scalable transactions across heterogeneous nosql key-value data stores," Proc. VLDB Endow., vol. 6, no. 12, pp. 1434-1439, Aug. 2013. [Online]. Available: http://dl.acm.org/citation. cfm?id=2536274.2536331
29. J. Gray, Benchmark Handbook: For Database and Transaction Processing Systems. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1992.
30. S. Patil, M. Polte et al., "YCSB++: benchmarking and performance debugging advanced features in scalable table stores," in Proceedings of the 2nd ACM Symposium on Cloud Computing, ser. SOCC 11. New York, NY, USA: ACM, 2011, pp. 9:1-9:14. [Online]. Available: http://doi.acm.org/10.1145/2038916. 2038925
31. A. J. Elmore, S. Das et al., "Zephyr: live migration in shared nothing databases for elastic cloud platforms," in SIGMOD Conference, T. K. Sellis, R. J. Miller, A. Kementsietsidis, and Y. Velegrakis, Eds. ACM, 2011, pp. 301-312.
32. S. Patterson, A. J. Elmore et al., "Serializability, not serial: concurrency control and availability in multi-datacenter datastores," Proc. VLDB Endow., vol. 5, no. 11, pp. 1459-1470, Jul. 2012. [Online]. Available: http://dl.acm.org/citation.cfm?id=2350229.2350261
33. D. Shasha and P. Bonnet, Database tuning: principles, experiments, and troubleshooting techniques. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2003.
34. H. Wada, A. Fekete et al., "Data Consistency Properties and the Tradeoffs in Commercial Cloud Storage: the Consumers Perspective," in CIDR, 2011, pp. 134-143.
35. A. Fekete, S. Goldrei et al., "Quantifying isolation anomalies," in Proceedings of Very Large Databases (VLDB09), 2009, pp. 467-478.
36. K. Zellag and B. Kemme, "How consistent is your cloud application?" in Proceedings of ACM Symposium on Cloud Computing (SoCC12), 2012, p. 6.
37. D. Bermbach and J. Kuhlenkamp, "Consistency in distributed storage systems-an overview of models, metrics and measurement approaches," in International Conference on Networked Systems (NETYS13), 2013, pp. 175-189, published in Springer LNCS 7853.