Auto-tuning of cloud-based in-memory transactional data grids via machine learning

Proceedings - IEEE 2nd Symposium on Network Cloud Computing and Applications, NCCA 2012

Volumn , Issue , 2012, Pages 9-16

  Di Sanzo, Pierangelo ^a   Rughetti, Diego ^a   Ciciani, Bruno ^a   Quaglia, Francesco ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD INFRASTRUCTURES; EXPERIMENTAL DATUM; MACHINE LEARNING APPROACHES; OPEN SOURCE PRODUCTS; OPERATING ENVIRONMENT; PERFORMANCE TRADE-OFF; SYNCHRONIZATION PROTOCOLS; TRANSACTIONAL DATA;

CLOUD COMPUTING; ELASTICITY; VIRTUAL STORAGE;

LEARNING SYSTEMS;

EID: 84875583541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NCCA.2012.20     Document Type: Conference Paper

References (26)

1. H. Berenson, P. Bernstein, J. Gray, J. Melton, E. O'Neil, and P. O'Neil. A critique of ansi sql isolation levels. In Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, SIGMOD '95, 1995.
2. P. A. Bernstein, V. Hadzilacos, and N. Goodman. Concurrency control and recovery in database systems. Addison-Wesley Longman Publishing Co., Inc., 1986.
3. A. Bryson and Y. Ho. Applied Optimal Control: Optimization, Estimation, and Control. Halsted Press book'. Taylor & Francis, 1975.
4. J. Chen, G. Soundararajan, and C. Amza. Autonomic provisioning of backend databases in dynamic content web servers. In Proceedings of the International Conference on Autonomic Computing, ICAC '06, pages 231-242, Washington, DC, USA, 2006. IEEE Computer Society.
5. B. F. Cooper, A. Silberstein, E. Tam, R. Ramakrishnan, and R. Sears. Benchmarking cloud serving systems with YCSB. In Proc. of ACM Symposium on Cloud Computing, SoCC '10, pages 143-154. ACM, 2010.
6. D. Dice, O. Shalev, and N. Shavit. Transactional locking ii. In In Proc. of the 20th Intl. Symp. on Distributed Computing, 2006.
7. D. Didona, P. Romano, S. Peluso, and F. Quaglia. Transactional auto scaler: elastic scaling of in-memory transactional data grids. In Proceedings of the 9th International Conference on Autonomic Computing, ICAC '12, pages 125.134, New York, NY, USA, 2012. ACM.
8. S. Ghanbari, G. Soundararajan, J. Chen, and C. Amza. Adaptive learning of metric correlations for temperature-aware database provisioning. In Proceedings of the International Conference on Autonomic Computing, ICAC '07, pages 26., Washington, DC, USA, 2007. IEEE Computer Society.
9. J. Gray, P. Helland, P. O'Neil, and D. Shasha. The dangers of replication and a solution. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, SIGMOD '96, 1996.
10. H. Herodotou, F. Dong, and S. Babu. No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics. In Proceedings of the 2nd ACM Symposium on Cloud Computing, SOCC '11, 2011.
11. JBoss Infinispan. Infinispan Cache Mode. https://docs.jboss.org/author/ display/ISPN/Clustering+modes, 2011.
12. D. Karger, E. Lehman, T. Leighton, R. Panigrahy, M. Levine, and D. Lewin. Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the world wide web. In Proceedings of the twenty-ninth annual ACM Symposium on Theory of Computing, STOC '97, 1997.
13. A. Lakshman and P. Malik. Cassandra: a decentralized structured storage system. SIGOPS Oper. Syst. Rev., 44, 2010.
14. T. M. Mitchell. Machine Learning. McGraw-Hill, New York, 1997.
15. R. Nathuji, A. Kansal, and A. Ghaffarkhah. Q-clouds: managing performance interference effects for qos-aware clouds. In Proceedings of the 5th European Conference on Computer Systems, EuroSys '10, 2010.
16. Oracle. Orache Coherence. http://www.oracle.com/technetwork/middleware/ coherence/overview/index.html, 2011.
17. P. Padala, K.-Y. Hou, K. G. Shin, X. Zhu, M. Uysal, Z. Wang, S. Singhal, and A. Merchant. Automated control of multiple virtualized resources. In Proceedings of the 4th ACM European Conference on Computer Systems, EuroSys '09, 2009.
18. S. Peluso, P. Ruivo, P. Romano, F. Quaglia, and L. Rodrigues. When scalability meets consistency: Genuine multiversion update-serializable partial data replication. 2012 IEEE 32nd International Conference on Distributed Computing Systems, 455-465, 2012.
19. D. E. Rumelhart and R. J. W. Geoffrey E. Hinton. Learning representations by back-propagating errors. Nature, 323(6088):533-536, 1986.
20. S. J. Russell, P. Norvig, J. F. Candy, J. M. Malik, and D. D. Edwards. Artificial intelligence: a modern approach. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1996.
21. R. Singh, U. Sharma, E. Cecchet, and P. Shenoy. Autonomic mix-aware provisioning for non-stationary data center workloads. In Proceedings of the International Conference on Autonomic Computing, ICAC '10, pages 21-30, New York, NY, USA, 2010. ACM.
22. TPC Council. TPC-C Benchmark, Revision 5.11. Feb. 2010.
23. L. Wang, J. Xu, M. Zhao, Y. Tu, and J. A. B. Fortes. Fuzzy modeling based resource management for virtualized database systems. In MASCOTS, 2011.
24. Z. Wang, X. Zhu, and S. Singhal. Utilization and slo-based control for dynamic sizing of resource partitions. In DSOM, 2005.
25. WMware. VMware vFabric GemFire. http://www.vmware.com/products/ application-platform/vfabric-gemfire/overview.html.
26. P. Xiong, Y. Chi, S. Zhu, J. Tatemura, C. Pu, and H. Hacigümü Ş. Activesla: a profit-oriented admission control framework for database-as-a-service providers. In Proceedings of the 2nd ACM Symposium on Cloud Computing, SOCC '11, New York, NY, USA, 2011. ACM.