@article{VinconBernhardtPetrovetal.2020,
  author    = {Vin{\c{c}}on, Tobias and Bernhardt, Arthur and Petrov, Ilia and Weber, Lukas and Koch, Andreas},
  title     = {nKV in action: accelerating KVstores on native computational storage with NearData processing},
  series = {Proceedings of the VLDB endowment},
  volume    = {13},
  journal   = {Proceedings of the VLDB endowment},
  number    = {12},
  publisher = {Assoc. of Computing Machinery},
  address   = {New York, NY},
  issn      = {2150-8097},
  doi       = {10.14778/3415478.3415524},
  pages     = {2981 -- 2984},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}