loading
Papers

Research.Publish.Connect.

Paper

Authors: Dirk Habich ; Till Kolditz ; Juliana Hildebrandt and Wolfgang Lehner

Affiliation: Database Systems Group, Technische Universität Dresden and Germany

ISBN: 978-989-758-318-6

Keyword(s): In-Memory, Database Systems, Error Detection, Error Correction, AN Encoding.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Database Architecture and Performance ; Databases and Data Security ; Query Processing and Optimization

Abstract: The key objective of database systems is to reliably manage data, whereby high query throughput and low query latency are core requirements. To satisfy these requirements, database systems constantly adapt to novel hardware features. Although it has been intensively studied and commonly accepted that hardware error rates in terms of bit flips increase dramatically with the decrease of the underlying chip structures, most database system research activities neglected this fact, leaving error (bit flip) detection as well as correction to the underlying hardware. Especially for memory, silent data corruption (SDC) as a result of transient bit flips leading to faulty data is mainly detected and corrected at the DRAM and memory-controller layer. However, since future hardware becomes less reliable and error detection as well as correction by hardware becomes more expensive, this free ride will come to an end in the near future. To further provide a reliable data management, an emerging res earch direction will be employing specific and tailored protection techniques at the database system level. Following that, we are currently developing and implementing an adopted system design for state-of-the-art in-memory column stores. In this position paper, we summarize our vision, the current state and outline future work of our research. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.6.254

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Habich, D.; Kolditz, T.; Hildebrandt, J. and Lehner, W. (2018). Reliable In-Memory Data Management on Unreliable Hardware.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, pages 365-372. DOI: 10.5220/0006884203650372

@conference{data18,
author={Dirk Habich. and Till Kolditz. and Juliana Hildebrandt. and Wolfgang Lehner.},
title={Reliable In-Memory Data Management on Unreliable Hardware},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={365-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006884203650372},
isbn={978-989-758-318-6},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Reliable In-Memory Data Management on Unreliable Hardware
SN - 978-989-758-318-6
AU - Habich, D.
AU - Kolditz, T.
AU - Hildebrandt, J.
AU - Lehner, W.
PY - 2018
SP - 365
EP - 372
DO - 10.5220/0006884203650372

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.