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it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Conrad, Stefan

Online
ISSN
2196-7032
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Volume 59, Issue 3

Issues

Storage class memory and databases: Opportunities and challenges

Ismail Oukid / Robert Kettler / Thomas Willhalm
Published Online: 2017-03-15 | DOI: https://doi.org/10.1515/itit-2016-0052

Abstract

Storage Class Memory (SCM) is emerging as a viable solution to lift DRAM's scalability limits, both in capacity and energy consumption. Indeed, SCM combines the economic characteristics, non-volatility, and density of traditional storage media with the low latency and byte-addressability of DRAM. In this paper we survey research works on how SCM can be leveraged in databases and explore different solutions ranging from using SCM as disk replacement, to single-level storage architectures, where SCM is used as universal memory (i.e., as memory and storage at the same time), together with the challenges that stem from these opportunities. Finally, we synthesize our findings into recommendations on how to exploit the full potential of SCM in next-generation database architectures.

Keywords: Database architecture; database recovery; storage class memory; non-volatile main memory; NVRAM

ACM CCS: Information systems →Data management systems →Database management system engines →DBMS engine architectures; Hardware →Emerging technologies →Memory and dense storage

About the article

Ismail Oukid

Ismail Oukid is a PhD candidate at TU Dresden and SAP SE, Germany, working closely with Intel on paving the path for SCM-based databases. His areas of interest include database kernel optimization for modern hardware, memory management, and query processing. He received a Master's degree from Grenoble Institute of Technology (Grenoble INP – Ensimag) in 2013.

SAP SE, Dietmar-Hopp Allee 16, 69190 Walldorf, Germany

Robert Kettler

Robert Kettler was born in Heidelberg, Germany in 1990. He received the Bachelor degree in Computer Science at the University of Applied Sciences Mannheim in 2015. He is still studying for the Master in Computer Science while working at SAP. His research interests include computer graphics, high performance computing, program optimization and machine learning.

SAP SE, Dietmar-Hopp Allee 16, 69190 Walldorf, Germany

Thomas Willhalm

Dr. Thomas Willhalm is an engineer in Intel's Software and Services Group, based in Germany. He works and consults with independent software vendors in optimizing their software for Intel architecture. His areas of expertise are enterprise applications and databases with a focus on SIMD and next-generation non-volatile memory solutions.

Intel Deutschland GmbH, Dornacher Strasse 1, 85622 Feldkirchen, Germany


Revised: 2017-02-17

Accepted: 2017-02-21

Received: 2016-11-05

Published Online: 2017-03-15

Published in Print: 2017-06-27


Citation Information: it - Information Technology, Volume 59, Issue 3, Pages 109–115, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2016-0052.

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