A Reinforcement Learning Solution for Allocating Replicated Fragments in a Distributed Database Una solución de Aprendizaje Reforzado para ubicar fragmentos replicados en Bases de Datos Distribuidas

Due to the complexity of the data distribution problem in Distributed Database Systems, most of the proposed solutions divide the design process into two parts: the fragmentation and the allocation of fragments to the locations in the network. Here we consider the allocation problem with the possibility to replicate fragments, minimizing the total cost, which is in general NP-complete, and