Abstract
Many 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.
Cite
CITATION STYLE
Knödler, C., Vinçon, T., Bernhardt, A., Petrov, I., Solis-Vasquez, L., Weber, L., & Koch, A. (2021). A cost model for NDP-aware query optimization for KV-stores. In Proceedings of the 17th International Workshop on Data Management on New Hardware, DaMoN 2021. Association for Computing Machinery, Inc. https://doi.org/10.1145/3465998.3466013
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