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.
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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.
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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
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DOI: https://doi.org/10.1007/978-3-319-27140-8_46
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