Cloud storage availability and performance assessment: a study based on NoSQL DBMS

Cloud storage availability and performance assessment: a study based on NoSQL DBMS

연구 분야: Databases

학회: The Journal of Supercomputing

Cloud storage systems are increasingly adopting NoSQL database management systems (DBMS), since they generally provide superior availability and performance than traditional DBMSs. To the detriment of better consistency guarantees, several NoSQL DBMSs allow eventual consistency, in which an operation is confirmed without checking all nodes. Different consistency levels for an operation (e.g. read) can be adopted, and such levels may distinctly affect system behaviour. Thus, the assessment of a system design taking into account distinct consistency levels is important for developing cloud storage systems. This work proposes an approach based on reliability block diagrams and generalized stochastic Petri nets to evaluate availability and performance of cloud storage systems, considering redundant nodes and eventual consistency based on NoSQL DBMS. Experimental results demonstrate system configuration may influence unavailability from 1 s to 21 h in a year, and performance can be impacted by up to 17.9%.