Cross-area Node Selection Algorithm for Data Replica Storing in Cloud Data Centers
Yang Lu, Changlin Xu, Yan Zheng · 2020
With the arrival of cloud computing and big data, enterprise application systems are supported by massive data storing in cloud data centers (CDCs), in which the popular open-source NoSQL databases (Cassandra, HBase, MongoDB) are utilized to cope with high concurrency, high availability, and high scalability. There are still two challenging issues: (1) When the consistency level and replica number is specified, selecting the appropriate nodes for data replicas to reduce the communication latency is necessary. (2) A tradeoff between reliability and synchronization time should be discussed in CDCs. In this paper, a cross-area node selection algorithm (CANSA) is proposed to minimize the communication latency, then a new method to adjust reliability in the data center is designed. Numerical results in the Cassandra cluster of CDCs demonstrate that the CANSA provides excellent consensus ratio, synchronization, and latency.