For cluster systems consisting of multiple processing nodes and shared servers which consist of an on-line and a backup shared server, we propose a hot-standby scheme for shared servers. In this scheme for shared servers, when the on-line shared server receives a command from a node, it sends only an update command and its data identifier to the backup shared server. Both the on-line and the backup shared server execute the update command independently, and the command result of the on-line shared server is identical to that of the backup shared server. When the on-line shared server fails, the backup reconstructs the shared data by using its own shared data and the user data from each node. We evaluated the system recovery time and the performance overhead for this hot-standby scheme. It enables the performance overhead to be ignored, and the system recovery time to be shortened to 20 seconds in cluster systems.
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Yuzuru MAYA, Soichi ISONO, Akira OHTSUJI, "High-Availability Scheme for Shared Servers of Cluster Systems Using Commands Transfer" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 5, pp. 1073-1081, May 2000, doi: .
Abstract: For cluster systems consisting of multiple processing nodes and shared servers which consist of an on-line and a backup shared server, we propose a hot-standby scheme for shared servers. In this scheme for shared servers, when the on-line shared server receives a command from a node, it sends only an update command and its data identifier to the backup shared server. Both the on-line and the backup shared server execute the update command independently, and the command result of the on-line shared server is identical to that of the backup shared server. When the on-line shared server fails, the backup reconstructs the shared data by using its own shared data and the user data from each node. We evaluated the system recovery time and the performance overhead for this hot-standby scheme. It enables the performance overhead to be ignored, and the system recovery time to be shortened to 20 seconds in cluster systems.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_5_1073/_p
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@ARTICLE{e83-d_5_1073,
author={Yuzuru MAYA, Soichi ISONO, Akira OHTSUJI, },
journal={IEICE TRANSACTIONS on Information},
title={High-Availability Scheme for Shared Servers of Cluster Systems Using Commands Transfer},
year={2000},
volume={E83-D},
number={5},
pages={1073-1081},
abstract={For cluster systems consisting of multiple processing nodes and shared servers which consist of an on-line and a backup shared server, we propose a hot-standby scheme for shared servers. In this scheme for shared servers, when the on-line shared server receives a command from a node, it sends only an update command and its data identifier to the backup shared server. Both the on-line and the backup shared server execute the update command independently, and the command result of the on-line shared server is identical to that of the backup shared server. When the on-line shared server fails, the backup reconstructs the shared data by using its own shared data and the user data from each node. We evaluated the system recovery time and the performance overhead for this hot-standby scheme. It enables the performance overhead to be ignored, and the system recovery time to be shortened to 20 seconds in cluster systems.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - High-Availability Scheme for Shared Servers of Cluster Systems Using Commands Transfer
T2 - IEICE TRANSACTIONS on Information
SP - 1073
EP - 1081
AU - Yuzuru MAYA
AU - Soichi ISONO
AU - Akira OHTSUJI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2000
AB - For cluster systems consisting of multiple processing nodes and shared servers which consist of an on-line and a backup shared server, we propose a hot-standby scheme for shared servers. In this scheme for shared servers, when the on-line shared server receives a command from a node, it sends only an update command and its data identifier to the backup shared server. Both the on-line and the backup shared server execute the update command independently, and the command result of the on-line shared server is identical to that of the backup shared server. When the on-line shared server fails, the backup reconstructs the shared data by using its own shared data and the user data from each node. We evaluated the system recovery time and the performance overhead for this hot-standby scheme. It enables the performance overhead to be ignored, and the system recovery time to be shortened to 20 seconds in cluster systems.
ER -