Fault Tolerant Cluster Computing through Replication

Long-lived parallel applications running on work station clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore required to prevent immature program termination. However, much of the runtime overhead imposed by fault tolerance schemes is generally due to the co...

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Main Author: SHUM, Kam Hong
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Language:English
Published: Institutional Knowledge at Singapore Management University 1997
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Online Access:https://ink.library.smu.edu.sg/sis_research/1053
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spelling sg-smu-ink.sis_research-20522010-12-22T08:24:06Z Fault Tolerant Cluster Computing through Replication SHUM, Kam Hong Long-lived parallel applications running on work station clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore required to prevent immature program termination. However, much of the runtime overhead imposed by fault tolerance schemes is generally due to the cost of transferring the checkpoint states of applications by disk I/O operations. In this paper, we propose a fault tolerant model in which checkpoint states are transferred between replicated parallel applications. We also describe how the resource consumption of the replicated applications can be minimized. The fault tolerant model has been implemented and tested on a workstation cluster and a Fujitsu AP3000 multi-processor machine. The measurements of our experiments have showed that efficient fault tolerance can be achieved by replicating parallel applications on clusters of computers. 1997-12-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1053 info:doi/10.1109/ICPADS.1997.652627 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
SHUM, Kam Hong
Fault Tolerant Cluster Computing through Replication
description Long-lived parallel applications running on work station clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore required to prevent immature program termination. However, much of the runtime overhead imposed by fault tolerance schemes is generally due to the cost of transferring the checkpoint states of applications by disk I/O operations. In this paper, we propose a fault tolerant model in which checkpoint states are transferred between replicated parallel applications. We also describe how the resource consumption of the replicated applications can be minimized. The fault tolerant model has been implemented and tested on a workstation cluster and a Fujitsu AP3000 multi-processor machine. The measurements of our experiments have showed that efficient fault tolerance can be achieved by replicating parallel applications on clusters of computers.
format text
author SHUM, Kam Hong
author_facet SHUM, Kam Hong
author_sort SHUM, Kam Hong
title Fault Tolerant Cluster Computing through Replication
title_short Fault Tolerant Cluster Computing through Replication
title_full Fault Tolerant Cluster Computing through Replication
title_fullStr Fault Tolerant Cluster Computing through Replication
title_full_unstemmed Fault Tolerant Cluster Computing through Replication
title_sort fault tolerant cluster computing through replication
publisher Institutional Knowledge at Singapore Management University
publishDate 1997
url https://ink.library.smu.edu.sg/sis_research/1053
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