TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bernhardt, Arthur
A1  - Tamimi, Sajjad
A1  - Vinçon, Tobias
A1  - Knödler, Christian
A1  - Stock, Florian
A1  - Heniz, Carsten
A1  - Koch, Andreas
A1  - Petrov, Ilia
T1  - neoDBMS: in-situ snapshots for multi-version DBMS on native computational storage
T2  - 2022 IEEE 38th International Conference on Data Engineering Workshops : ICDEW 2022, 9-11 May 2022, virtual event, proceedings
N2  - Multi-versioning and MVCC are the foundations of many modern DBMSs. Under mixed workloads and large datasets, the creation of the transactional snapshot can become very expensive, as long-running analytical transactions may request old versions, residing on cold storage, for reasons of transactional consistency. Furthermore, analytical queries operate on cold data, stored on slow persistent storage. Due to the poor data locality, snapshot creation may cause massive data transfers and thus lower performance. Given the current trend towards computational storage and near-data processing, it has become viable to perform such operations in-storage to reduce data transfers and improve scalability. neoDBMS is a DBMS designed for near-data processing and computational storage. In this paper, we demonstrate how neoDBMS performs snapshot computation in-situ. We showcase different interactive scenarios, where neoDBMS outperforms PostgreSQL 12 by up to 5×.
KW  - ndp
KW  - smart storage
KW  - disaggregated memory
Y1  - 2022
U6  - https://doi.org/10.1109/ICDE53745.2022.00290
DO  - https://doi.org/10.1109/ICDE53745.2022.00290
SP  - 3170
EP  - 3173
S1  - 4
PB  - IEEE
CY  - Piscataway, NJ
ER  -