Title
Result-Set Management for NDP Operations on Smart Storage
Date Issued
12 June 2022
Access level
metadata only access
Resource Type
conference paper
Author(s)
Technische Universität Darmstadt
Publisher(s)
Association for Computing Machinery, Inc
Abstract
Current data-intensive systems suffer from scalability as they transfer massive amounts of data to the host DBMS to process it there. Novel near-data processing (NDP) DBMS architectures and smart storage can provably reduce the impact of raw data movement. However, transferring the result-set of an NDP operation may increase the data movement, and thus, the performance overhead. In this paper, we introduce a set of in-situ NDP result-set management techniques, such as spilling, materialization, and reuse. Our evaluation indicates a performance improvement of 1.13 × to 400 ×.
Language
English
OCDE Knowledge area
Ciencias de la computación
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85133371621
Resource of which it is part
18th International Workshop on Data Management on New Hardware, DaMoN 2022
ISBN of the container
9781450393782
Conference
18th International Workshop on Data Management on New Hardware, DaMoN 2022
Sponsor(s)
This work has been partially supported by BMBF PANDAS – 01IS18081C/D;
Sources of information:
Directorio de Producción Científica
Scopus