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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.

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Metadaten
Name: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:Assoc. of Computing Machinery
Place of publication:New York, NY
Document Type:Article
Language:English
Year of Publication:2020
Volume:13
Issue:12
Pagenumber:4
First Page:2981
Last Page:2984
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (English):License Logo  Lizenzbedingungen ACM