Name
Abstract | ||
|---|---|---|
ABSTRACTMany modern DBMS architectures require transferring data from storage to process it afterwards. Given the continuously increasing amounts of data, data transfers quickly become a scalability limiting factor. Near-Data Processing and smart/computational storage emerge as promising trends allowing for decoupled in-situ operation execution, data transfer reduction and better bandwidth utilization. However, not every operation is suitable for an in-situ execution and a careful placement and optimization is needed. In this paper we present an NDP-aware cost model. It has been implemented in MySQL and evaluated with nKV. We make several observations underscoring the need for optimization. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3465998.3466013 | International Conference on Management of Data |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Knödler | 1 | 0 | 0.34 |
| Tobias Vinçon | 2 | 4 | 7.51 |
| Arthur Bernhardt | 3 | 0 | 0.68 |
| Ilia Petrov | 4 | 83 | 20.20 |
| Leonardo Solis-Vasquez | 5 | 0 | 1.01 |
| Lukas Weber | 6 | 3 | 4.89 |
| Andreas Koch | 7 | 155 | 29.56 |