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

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Abstract

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%.

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Notes

  1. http://cassandra.apache.org/.

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Acknowledgements

This work has been supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq under Grants 405224/2018-4 and 302373/2018-7.

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Authors and Affiliations

  1. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

    Carlos Gomes & Eduardo Tavares

  2. Instituto Federal de Pernambuco, Campus Recife, Recife, Brazil

    Meuse Nogueira de O. Junior

  3. Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil

    Bruno Nogueira

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  1. Carlos Gomes
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  2. Eduardo Tavares
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  3. Meuse Nogueira de O. Junior
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  4. Bruno Nogueira
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Correspondence to Carlos Gomes.

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Gomes, C., Tavares, E., Junior, M.N.d.O. et al. Cloud storage availability and performance assessment: a study based on NoSQL DBMS. J Supercomput 78, 2819–2839 (2022). https://doi.org/10.1007/s11227-021-03976-1

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