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Datenbank-Spektrum
Erschienen in: Datenbank-Spektrum 3/2018

05.10.2018 | Schwerpunktbeitrag

Data Management on Non-Volatile Memory: A Perspective

verfasst von: Philipp Götze, Alexander van Renen, Lucas Lersch, Viktor Leis, Ismail Oukid

Erschienen in: Datenbank-Spektrum | Ausgabe 3/2018

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Abstract

The large performance gap between main memory and secondary storage accounts for many design decisions of traditional database systems. With the upcoming availability of Non-Volatile Memory (NVM), which has latencies in the same order of magnitude as DRAM, is byte-addressable and persistent, a completely new type of technology is added to the memory stack. This changes some basic assumptions such as slow storage, block granular access, and that sequential accesses are much faster than random accesses. New ideas are therefore needed to efficiently leverage NVM. Although several new approaches can be found in the literature, the exact role of NVM is not yet clear. In this paper, we survey recent work in this area and classify the existing approaches. We focus on two key challenges: (1) integration of NVM into the memory hierarchy and (2) the design of NVM-aware data structures. We contrast the different approaches, highlight their advantages and limitations, and make recommendations.
Vorheriger Artikel Efficient and Scalable k‑Means on GPUs
Nächster Artikel Cooking DBMS Operations using Granular Primitives

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Fußnoten
1
Also known as Persistent Memory (PM), Non-Volatile Random Access Memory (NVRAM), or Storage Class Memory (SCM).
 
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Metadaten
Titel
Data Management on Non-Volatile Memory: A Perspective
verfasst von
Philipp Götze
Alexander van Renen
Lucas Lersch
Viktor Leis
Ismail Oukid
Publikationsdatum
05.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Datenbank-Spektrum / Ausgabe 3/2018
Print ISSN: 1618-2162
Elektronische ISSN: 1610-1995
DOI
https://doi.org/10.1007/s13222-018-0301-1

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