Algoritmo Escalable y Eficiente para Bases de Datos Replicadas Utilizando Coherencia Causal

General objective Formulate a scalable and efficient algorithm for replicated databases using causal consistency Justification As shown in the background, the coherence and availability of geo-replicated systems is a very important problem in distributive systems and is a very active line of research in the world. It is necessary to develop new algorithms that allow solving the problem efficiently and that at the same time are scalable considering the problems raised in (Brewer, CAP twelve years later: How the "rules" have changed, 2012). Proposing new algorithms to solve this problem would have an important implication in the design and implementation of commercial systems, since it would allow the construction of highly available geo-replicated systems.