Volltext-Downloads (blau) und Frontdoor-Views (grau)

nKV: near-data processing with KV-stores on native computational storage

  • Massive data transfers in modern key/value stores 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, have yet to see widespread use. In this paper we introduce nKV, which is a key/value store utilizing native computational storage and near-data processing. On the one hand, nKV can directly control the data and computation placement on the underlying storage hardware. On the other hand, nKV propagates the data formats and layouts to the storage device where, software and hardware parsers and accessors are implemented. Both allow NDP operations to execute in host-intervention-free manner, directly on physical addresses and thus better utilize the underlying hardware. Our performance evaluation is based on executing traditional KV operations (GET, SCAN) and on complex graph-processing algorithms (Betweenness Centrality) in-situ, with 1.4×-2.7× better performance on real hardware – the COSMOS+ platform.

Download full text files

  • 2819.pdf

Export metadata

Additional Services

Share in Twitter Search Google Scholar


Author of HS ReutlingenVinçon, Tobias; Bernhardt, Arthur; Petrov, Ilia
Erschienen in:DaMoN '20 : proceedings of the 16th International Workshop on Data Management on New Hardware : Portland, Oregon, June, 2020
Place of publication:New York, NY
Document Type:Conference proceeding
Publication year:2020
Page Number:11
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt