TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Vinçon, Tobias
A1  - Knödler, Christian
A1  - Bernhardt, Arthur
A1  - Solis-Vasquez, Leonardo
A1  - Weber, Lukas
A1  - Koch, Andreas
A1  - Petrov, Ilia
T1  - Result-set management for NDP operations on smart storage
T2  - DaMoN '22 : proceedings of the 18th International Workshop on Data Management on New Hardware, Philadelphia, PA, June 2022
N2  - Current data-intensive systems suffer from scalability as they transfer massive amounts of data to the host DBMS to process it there. Novel near-data processing (NDP) DBMS architectures and smart storage can provably reduce the impact of raw data movement. However, transferring the result-set of an NDP operation may increase the data movement, and thus, the performance overhead. In this paper, we introduce a set of in-situ NDP result-set management techniques, such as spilling, materialization, and reuse. Our evaluation indicates a performance improvement of 1.13 × to 400 ×.
Y1  - 2022
SN  - 978-1-4503-9378-2
SB  - 978-1-4503-9378-2
U6  - https://doi.org/10.1145/3533737.3535097
DO  - https://doi.org/10.1145/3533737.3535097
SP  - 1
EP  - 5
S1  - 5
PB  - ACM
CY  - New York
ER  -