nKV in action: accelerating KVstores on native computational storage with NearData processing
- Massive data transfers in modern data intensive systems resulting from low data-locality and data-to-code system design hurt their performance and scalability. Near-data processing (NDP) designs represent a feasible solution, which although not new, has yet to see widespread use. In this paper we demonstrate various NDP alternatives in nKV, which is a key/value store utilizing native computational storage and near-data processing. We showcase the execution of classical operations (GET, SCAN) and complex graph-processing algorithms (Betweenness Centrality) in-situ, with 1.4x-2.7x better performance due to NDP. nKV runs on real hardware - the COSMOS+ platform.
| Author of HS Reutlingen | Vinçon, Tobias; Bernhardt, Arthur; Petrov, Ilia |
|---|---|
| DOI: | https://doi.org/10.14778/3415478.3415524 |
| ISSN: | 2150-8097 |
| Erschienen in: | Proceedings of the VLDB endowment |
| Publisher: | ACM |
| Place of publication: | New York, NY |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2020 |
| Volume: | 13 |
| Issue: | 12 |
| Page Number: | 4 |
| First Page: | 2981 |
| Last Page: | 2984 |
| DDC classes: | 004 Informatik |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
