IEICE TRANSACTIONS on Information
Efficient Reboot-Based Recovery of In-Memory Databases
Summary :
Reboot-based recovery is a simple but powerful method to recover applications from failures and unstable states. Reboot-based recovery faces a challenge to apply it to a new type of applications, in-memory databases (DBs). Unlike legacy applications, since rebooting in-memory DBs loses memory objects including key-value pairs and DB blocks, it is required to restore them, causing severe performance degradation after the reboot. This paper presents an approach that allows us to perform reboot-based recovery of in-memory DBs with lower performance degradation. Our key insight is to decouple data content objects from all the memory objects. Our approach treats data items as data content objects, preserves data content objects on memory across reboots, and enforces restarted in-memory DBs to attach them. To show the effectiveness of our approach, we elaborate the idea into two real-world DBs, MyRocks and memcached. The prototypes successfully mitigate performance degradation after their reboot-based recovery.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.12 pp.2164-2172
- Publication Date
- 2021/12/01
- Publicized
- 2021/08/26
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020ZDP7501
- Type of Manuscript
- PAPER
- Category
- Dependable Computing
Authors
Yuto JUMONJI
Tokyo University of Agriculture and Technology
Hiroshi YAMADA
Tokyo University of Agriculture and Technology
Keyword
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Yuto JUMONJI, Hiroshi YAMADA, "Efficient Reboot-Based Recovery of In-Memory Databases" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 12, pp. 2164-2172, December 2021, doi: 10.1587/transinf.2020ZDP7501.
Abstract: Reboot-based recovery is a simple but powerful method to recover applications from failures and unstable states. Reboot-based recovery faces a challenge to apply it to a new type of applications, in-memory databases (DBs). Unlike legacy applications, since rebooting in-memory DBs loses memory objects including key-value pairs and DB blocks, it is required to restore them, causing severe performance degradation after the reboot. This paper presents an approach that allows us to perform reboot-based recovery of in-memory DBs with lower performance degradation. Our key insight is to decouple data content objects from all the memory objects. Our approach treats data items as data content objects, preserves data content objects on memory across reboots, and enforces restarted in-memory DBs to attach them. To show the effectiveness of our approach, we elaborate the idea into two real-world DBs, MyRocks and memcached. The prototypes successfully mitigate performance degradation after their reboot-based recovery.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020ZDP7501/_p
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@ARTICLE{e104-d_12_2164,
author={Yuto JUMONJI, Hiroshi YAMADA, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Reboot-Based Recovery of In-Memory Databases},
year={2021},
volume={E104-D},
number={12},
pages={2164-2172},
abstract={Reboot-based recovery is a simple but powerful method to recover applications from failures and unstable states. Reboot-based recovery faces a challenge to apply it to a new type of applications, in-memory databases (DBs). Unlike legacy applications, since rebooting in-memory DBs loses memory objects including key-value pairs and DB blocks, it is required to restore them, causing severe performance degradation after the reboot. This paper presents an approach that allows us to perform reboot-based recovery of in-memory DBs with lower performance degradation. Our key insight is to decouple data content objects from all the memory objects. Our approach treats data items as data content objects, preserves data content objects on memory across reboots, and enforces restarted in-memory DBs to attach them. To show the effectiveness of our approach, we elaborate the idea into two real-world DBs, MyRocks and memcached. The prototypes successfully mitigate performance degradation after their reboot-based recovery.},
keywords={},
doi={10.1587/transinf.2020ZDP7501},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Efficient Reboot-Based Recovery of In-Memory Databases
T2 - IEICE TRANSACTIONS on Information
SP - 2164
EP - 2172
AU - Yuto JUMONJI
AU - Hiroshi YAMADA
PY - 2021
DO - 10.1587/transinf.2020ZDP7501
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2021
AB - Reboot-based recovery is a simple but powerful method to recover applications from failures and unstable states. Reboot-based recovery faces a challenge to apply it to a new type of applications, in-memory databases (DBs). Unlike legacy applications, since rebooting in-memory DBs loses memory objects including key-value pairs and DB blocks, it is required to restore them, causing severe performance degradation after the reboot. This paper presents an approach that allows us to perform reboot-based recovery of in-memory DBs with lower performance degradation. Our key insight is to decouple data content objects from all the memory objects. Our approach treats data items as data content objects, preserves data content objects on memory across reboots, and enforces restarted in-memory DBs to attach them. To show the effectiveness of our approach, we elaborate the idea into two real-world DBs, MyRocks and memcached. The prototypes successfully mitigate performance degradation after their reboot-based recovery.
ER -
English
