Abstract
Cloud computing is a prevailing paradigm of service oriented computing and has revolutionized the computing infrastructure in terms of abstraction and usage. But its model requires significant changes in data management systems due to the requirements on scalability, availability, performance and quality of service. Many researchers proposed database replication techniques to address these challenges. However, only a few existing solutions to database replication in the cloud are attacking the issues with elasticity and quality of service. In this paper, we concern about the problem of relational database replication in the cloud. We present Scalable Relational Database Cloud (SRDC), an approach that adopts database replication in the cloud with elasticity. Experiments with the popular benchmarks demonstrate that our approach is viable and has achieved scalability with strong consistency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chang, F., Dean, J., Ghemawat, S., Hsieh, W.C., Wallach, D.A., Burrows, M., Chandra, T., Fikes, A., Gruber, R.E.: Bigtable: a distributed storage system for structured data. In: OSDI, pp. 205–218 (2006)
Cassandra. http://cassandra.apache.org
DeCandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., Sivasubramanian, S., Vosshall, P., Vogels, W.: Dynamo: amazons highly available key-value store. In: SOSP, pp. 205–220 (2007)
Azure (2011). Microsoft Azure. http://www.microsoft.com/azure/
Amazon (2011). Amazon Relational Database Service (RDS). http://aws.amazon.com/rds/
Rao, J., Shekita, E.J., Tata, S.: Using paxos to build a scalable, consistent, and highly available datastore. Proc. VLDB Endow. 4(4), 243–254 (2011)
Brewer, E.A.: Towards robust distributed systems. In: PODC, p. 7 (2000)
Curino, C., Jones, E.P.C., et al.: Schism: a workload-driven approach to database replication and partitioning. VLDB 3, 48–57 (2010)
Curino, C., Jones, E.P.C., Popa, R.A., et al.: Relational cloud: a database service for the cloud. In: CIDR, pp. 235–240 (2011)
Gray, J., Helland, P., O’Neil, P., Shasha, D.: The dangers of replication and a solution. In: SIGMOD, pp. 173–182 (1996)
Kemme, B., Alonso, G.: A new approach to developing and implementing eager database replication protocols. ACM TODS 25(3), 333–379 (2000)
Kemme, B., Alonso, G.: Don’t be lazy, be consistent: Postgres-R, a new way to implement database replication. In: Proceedings of VLDB 2000, pp. 134–143 (2000)
Wu, S., Kemme, B.: Postgres-R(SI): combining replica control with concurrency control based on snapshot isolation. In: Proceedings of ICDE 2005, pp. 422–433 (2005)
Kemme, B., Alonso, G.: Database replication: a tale of research across communities. PVLDB 3(1), 5–12 (2010)
Martnez, M.P., Peris, R.J., Kemme, B., Alonso, G.: MIDDLER: consistent database replication at the middleware level. ACM TOCS 23(4), 375–423 (2005)
Vo, H.T., Chen, C., Ooi, B.C.: Towards elastic transactional cloud storage with range query support. PVLDB 3(1), 506–517 (2010)
Elnikety, S., Zwaenepoel, W., Pedone, F.: Database replication using generalized snapshot isolation. In: Proceedings of SRDS 2005, pp. 73–84 (2005)
Elnikety, S., Dropsho, S., Pedone, F.: Tashkent: uniting durability with transaction ordering for high-performance scalable database replication. In: EuroSys, pp. 117–130 (2006)
Das, S., Agarwal, S., Agrawal, D., et al.: ElasTras: an elastic, scalable, and self managing transactional database for the cloud. Technical report UCSB-CS-2010-04, University of California, Sabtaba Barbara (2010)
Daudjee, K., Salem, K.: Lazy database replication with snapshot isolation. In: Proceedings of VLDB 2006, pp. 715–726 (2006)
Plattner, C., Alonso, G., Ozsu, M.T.: Extending DBMSs with satellite databases. VLDB J. 17(4), 657–682 (2008)
Bornea, M.A., Hodson, O., Elnikety, S., Fekete, A.: One-copy serializability with snapshot isolation under the hood. In: Proceedings of ICDE 2011, pp. 625–636 (2011)
Cecchet, E., Singh, R., Sharma, U., and Shenoy, P.: Dolly: virtualization-driven database provisioning for the cloud. In: ACM VEE, pp. 51–62 (2011)
Savinov, S., Daudjee, K.: Dynamic database replica provisioning through virtualization. In: CloudDB, pp. 41–46 (2010)
Acknowledgements
This work was supported in part by Natural Science Foundation of GuangDong Province Grant No. 2015A030310208, Technology Research Project of the Ministry of Public Security Grant No. 2014JSYJB048, and National Natural Science Foundation of China Grant No. 61502163. Jiuhui Pan is the corresponding author of the paper. The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improved this paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Zou, X., Pan, J., Du, W., Chen, S. (2015). Elastic Database Replication in the Cloud. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_46
Download citation
DOI: https://doi.org/10.1007/978-3-319-27140-8_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27139-2
Online ISBN: 978-3-319-27140-8
eBook Packages: Computer ScienceComputer Science (R0)