While eventual consistency is the general consistency guarantee ensured in cloud environments, stronger guarantees are in fact achievable. We show how scalable and highly available systems can provide processor, causal, sequential and session consistency during normal functioning. Failures and network partitions negatively affect consistency and generate divergence. After the failure or the partition, reconciliation techniques allow the system to restore consistency. © 2012 Springer-Verlag.
CITATION STYLE
Ruiz-Fuertes, M. I., Pallardó-Lozoya, M. R., & Muñoz-Escoí, F. D. (2012). Consistency in scalable systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7566 LNCS, pp. 549–565). https://doi.org/10.1007/978-3-642-33615-7_7
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