Performance comparison of consistency maintenance techniques for cloud database
Proceedings of the 50th Annual Southeast Regional Conference
Proceedings of the First International Conference on Security of Internet of Things
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Database as a Service is a very attractive product from cloud service providers for small start-up companies. However, consistency maintenance among replica servers is a very big issue in cloud databases. Too much interdependency of replica servers in the existing consistency model reduces performance and throughput, and can increase the transaction failure rate of a cloud database. In this paper we propose a tree-based consistency approach that reduces interdependency among replica servers by introducing partially consistent and fully consistent states of cloud databases. The tree is formed such a way that the maximum reliable path is ensured from the primary server to all replica servers. As a result, the probability of a transaction failure is greatly reduced, which helps to increase performance and throughput even in an unreliable network.