Abstract
Big-data applications are deployed on cloud data-stores for the augmented performance metrics like availability, scalability and responsiveness. However they assure higher performance at the cost of lower consistency guarantees. The commercial cloud data-stores have unassured lower consistency guarantees which are measured with different metrics. For a traditional application deployed on relational databases with strong and assured consistency guarantees, SQL isolation levels have been used as a measure for the user to specify his/her consistency requirements. Migration of these applications to No-SQL data-stores necessitates a mapping of the changed levels of consistency from SQL isolation levels to No-SQL standard consistency metrics. This work gives insight to user about the adaptation in changed levels and guarantees of consistency from SQL isolation levels to No-SQL consistency metric.
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Vyas, B., Phansalkar, S. (2016). Adaptation of SQL-Isolation Levels to No-SQL Consistency Metrics. In: Vijayakumar, V., Neelanarayanan, V. (eds) Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’). Smart Innovation, Systems and Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-30348-2_28
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DOI: https://doi.org/10.1007/978-3-319-30348-2_28
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