A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application

Abstract

In distributed database system, replicated databases are composed of many copies of databases distributed across different sites. Distributed applications frequently use replications to achieve higher level of performance, reliability and availability. The main challenge of database replication is to keep the data copies to be consistent in the presence of updates. In this paper, we study how the replicated databases can be prevented inconsistent data among users who access the replicated database simultaneously. Since, causal consistency perform operations that are causally related must be seen in causal order by all processes. Our study is focused on causally-consistent lazy model for a data-centric distributed application. For case study, we consider on Sale Ordering System.