IEICE TRANSACTIONS on Information
Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment
Summary :
In a multisystem data sharing environment (MDSE), the computing nodes are locally coupled via a high-speed network and share a common database at the disk level. To reduce the amount of expensive and slow disk I/O, each node caches database pages in its main memory buffer. This paper focuses on the MDSE that uses record-level locking as a concurrency control. While the record-level locking can guarantee higher concurrency than page-level locking, it may result in heavy message traffic. In this paper, we first propose a cache coherency scheme that can reduce the message traffic in the standard locking. Then the scheme is extended to the context where lock caching and lock de-escalation are adopted. Using a distributed database simulation model, we evaluate the performance of the proposed schemes under a wide variety of database workloads.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.6 pp.1042-1050
- Publication Date
- 1999/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Databases
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Haengrae CHO, "Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 6, pp. 1042-1050, June 1999, doi: .
Abstract: In a multisystem data sharing environment (MDSE), the computing nodes are locally coupled via a high-speed network and share a common database at the disk level. To reduce the amount of expensive and slow disk I/O, each node caches database pages in its main memory buffer. This paper focuses on the MDSE that uses record-level locking as a concurrency control. While the record-level locking can guarantee higher concurrency than page-level locking, it may result in heavy message traffic. In this paper, we first propose a cache coherency scheme that can reduce the message traffic in the standard locking. Then the scheme is extended to the context where lock caching and lock de-escalation are adopted. Using a distributed database simulation model, we evaluate the performance of the proposed schemes under a wide variety of database workloads.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_6_1042/_p
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@ARTICLE{e82-d_6_1042,
author={Haengrae CHO, },
journal={IEICE TRANSACTIONS on Information},
title={Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment},
year={1999},
volume={E82-D},
number={6},
pages={1042-1050},
abstract={In a multisystem data sharing environment (MDSE), the computing nodes are locally coupled via a high-speed network and share a common database at the disk level. To reduce the amount of expensive and slow disk I/O, each node caches database pages in its main memory buffer. This paper focuses on the MDSE that uses record-level locking as a concurrency control. While the record-level locking can guarantee higher concurrency than page-level locking, it may result in heavy message traffic. In this paper, we first propose a cache coherency scheme that can reduce the message traffic in the standard locking. Then the scheme is extended to the context where lock caching and lock de-escalation are adopted. Using a distributed database simulation model, we evaluate the performance of the proposed schemes under a wide variety of database workloads.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment
T2 - IEICE TRANSACTIONS on Information
SP - 1042
EP - 1050
AU - Haengrae CHO
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 1999
AB - In a multisystem data sharing environment (MDSE), the computing nodes are locally coupled via a high-speed network and share a common database at the disk level. To reduce the amount of expensive and slow disk I/O, each node caches database pages in its main memory buffer. This paper focuses on the MDSE that uses record-level locking as a concurrency control. While the record-level locking can guarantee higher concurrency than page-level locking, it may result in heavy message traffic. In this paper, we first propose a cache coherency scheme that can reduce the message traffic in the standard locking. Then the scheme is extended to the context where lock caching and lock de-escalation are adopted. Using a distributed database simulation model, we evaluate the performance of the proposed schemes under a wide variety of database workloads.
ER -
English
