Advanced consistency management of highly-distributed transactional database in a hybrid cloud environment using novel R-TBC/RTA approach

Abstract This paper examines possibilities for improving the existing strategies of consistency management highly-distributed transactional database in a hybrid cloud environment. With detailed analysis models distributed and standard including Classic, Quorum Tree Based Consistency (TBC), it is concluded that an improved advanced model so-called visible adaptive needs to be applied environment, as necessary sufficient degree synchronization all replicas. Along with proposed model, research development novel strategy Rose TBC (R-TBC) approach has been conducted, by approach. Regarding implementation, specific agglomerative Algorithm (RTA) developed, based on Bayesian hierarchical clustering Graph Partitioning - Multidimensional Data Clustering (GPA-MDC) intelligent partitioning Cloud Database Management System (CDBMS). The final result constructed R-TBC changes accordance dynamic entire heterogeneous CDBMS