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On the necessity of explicit cross-layer data formats in near-data processing systems

  • 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) and a shift to code-to-data designs may represent a viable solution as packaging combinations of storage and compute elements on the same device has become viable. The shift towards NDP system architectures calls for revision of established principles. Abstractions such as data formats and layouts typically spread multiple layers in traditional DBMS, the way they are processed is encapsulated within these layers of abstraction. The NDP-style processing requires an explicit definition of cross-layer data formats and accessors to ensure in-situ executions optimally utilizing the properties of the underlying NDP storage and compute elements. In this paper, we make the case for such data format definitions and investigate the performance benefits under NoFTL-KV and the COSMOS hardware platform.

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Metadaten
Name:Vinçon, Tobias; Bernhardt, Arthur; Petrov, Ilia
DOI:https://doi.org/10.1109/ICDEW49219.2020.00009
Erschienen in:Proceedings 2020 IEEE 36th International Conference on Data Engineering Workshops ICDEW 2020
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference Proceeding
Language:English
Year of Publication:2020
Tag:data format; data layout; near-data processing
Pagenumber:6
First Page:109
Last Page:114
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE