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- W4283783206 abstract "Ordered key-value stores (or sorted maps/dictionaries) are a fundamental building block in a large variety of both sequential and parallel/distributed algorithms. However, most state-of-art approaches are either based on ephemeral in-memory representations that are difficult to persist and/or not scalable enough under concurrent access (e.g., red-black trees, skip lists), and/or not lightweight enough (e.g. database engines). Furthermore, there is an increasing need to provide versioning support, which is needed in a variety of scenarios: introspection, provenance tracking, revisiting previous intermediate results. To address these challenges, we propose a new lightweight dictionary data structure that simultaneously provides support for multi-versioning, persistency and scalability under concurrent access. We demonstrate its effectiveness through a series of experiments, in which it outperforms several state-of-art approaches, both in terms of vertical and horizontal scalability." @default.
- W4283783206 created "2022-07-03" @default.
- W4283783206 creator A5085745891 @default.
- W4283783206 date "2022-05-01" @default.
- W4283783206 modified "2023-10-06" @default.
- W4283783206 title "Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support" @default.
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- W4283783206 doi "https://doi.org/10.1109/ipdps53621.2022.00018" @default.
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