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• W4313013338 abstract "The cost of DRAM contributes significantly to the operating costs of in-memory database management systems (IMDBMS). Persistent memory (PMEM) is an alternative type of byte-addressable memory that offers --- in addition to persistence --- higher capacities than DRAM at a lower price with the disadvantage of increased latencies and reduced bandwidth. This paper evaluates PMEM as a cheaper alternative to DRAM for storing table base data, which can make up a significant fraction of an IMDBMS' total memory footprint. Using a prototype implementation in the SAP HANA IMDBMS, we find that placing all table data in PMEM can reduce query performance in analytical benchmarks by more than a factor of two, while transactional workloads are less affected. To quantify the performance impact of placing individual data structures in PMEM, we propose a cost model based on a lightweight workload characterization. Using this model, we show how to place data pareto-optimally in the heterogeneous memory. Our evaluation demonstrates the accuracy of the model and shows that it is possible to place more than 75% of table data in PMEM while keeping performance within 10% of the DRAM baseline for two analytical benchmarks." @default.
• W4313013338 created "2023-01-05" @default.
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• W4313013338 date "2022-07-01" @default.
• W4313013338 modified "2023-10-03" @default.
• W4313013338 title "Cost modelling for optimal data placement in heterogeneous main memory" @default.
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• W4313013338 doi "https://doi.org/10.14778/3551793.3551837" @default.
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