  Various data consistency levels have an important part in the integrity of
data and also affect performance especially the data that is replicated many
times across or over the cluster. Based on BASE and the theorem of CAP
tradeoffs, most systems of NoSQL have more relaxed consistency guarantees than
another kind of databases which implement ACID. Most systems of NoSQL gave
different methods to adjust a required level of consistency to ensure the
minimal numbering of the replicas accepted in each operation. Simulations are
always depending on a simplified model and ignore many details and facts about
the real system. Therefore, a simulation can only work as an estimation or an
explanation vehicle for observed behavior. So to create simulation tool, I have
to characterize a model, identify influence factors and simply implement that
depending on a (modeled) workload. In this paper, I have a model of simulation
to measure the consistency of the data and to detect the data consistency
violations in simulated network partition settings. So workloads are needed
with the set of users who make requests and then put the results for analysis.
