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• W2004332795 abstract "Modern transactional processing systems need to be fast and scalable, but this means many such systems settled for weak consistency models. It is however possible to achieve all of strong consistency, high scalability and high performance, by using fine-grained partitions and light-weight concurrency control that avoids superfluous synchronization and other overheads such as lock management. Independent transactions are one such mechanism, that rely on good partitions and appropriately defined transactions. On the downside, it is not usually straightforward to determine optimal partitioning schemes, especially when dealing with non-trivial amounts of data. Our work attempts to solve this problem by automating the partitioning process, choosing the correct transactional primitive, and routing transactions appropriately." @default.
• W2004332795 created "2016-06-24" @default.
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• W2004332795 date "2014-06-30" @default.
• W2004332795 modified "2023-09-23" @default.
• W2004332795 title "Automated Data Partitioning for Highly Scalable and Strongly Consistent Transactions" @default.
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• W2004332795 doi "https://doi.org/10.1145/2611354.2611363" @default.
• W2004332795 hasPublicationYear "2014" @default.
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