Effective Fault Tolerance for Agent-Based Cluster Computing

Long-lived parallel applications running on workstation clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore important in avoiding immature program termination. However, much of the runtime overhead imposed by fault tolerance schemes is generally due to the c...

Full description

Saved in:
Bibliographic Details
Main Author: SHUM, Kam Hong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1999
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/1067
http://dx.doi.org/10.1016/S0164-1212(99)00057-6
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-2066
record_format dspace
spelling sg-smu-ink.sis_research-20662010-12-22T08:24:06Z Effective Fault Tolerance for Agent-Based Cluster Computing SHUM, Kam Hong Long-lived parallel applications running on workstation clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore important in avoiding 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 disk I/O operations are not required because checkpoint states are transferred between replicated parallel applications. We also describe how the resource consumption of the replicated applications can be effective. To achieve this, applications are constructed as computation agents that can reconfigure dynamically according to resource availability. 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 workstation clusters. 1999-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1067 info:doi/10.1016/S0164-1212(99)00057-6 http://dx.doi.org/10.1016/S0164-1212(99)00057-6 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Fault tolerance Replication Checkpointing Networks of workstation Cluster computing Parallel discrete-event simulation 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 Fault tolerance
Replication
Checkpointing
Networks of workstation
Cluster computing
Parallel discrete-event simulation
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Fault tolerance
Replication
Checkpointing
Networks of workstation
Cluster computing
Parallel discrete-event simulation
Databases and Information Systems
Numerical Analysis and Scientific Computing
SHUM, Kam Hong
Effective Fault Tolerance for Agent-Based Cluster Computing
description Long-lived parallel applications running on workstation clusters are vulnerable to single-node or multiple-node failures. Fault recovery is therefore important in avoiding 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 disk I/O operations are not required because checkpoint states are transferred between replicated parallel applications. We also describe how the resource consumption of the replicated applications can be effective. To achieve this, applications are constructed as computation agents that can reconfigure dynamically according to resource availability. 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 workstation clusters.
format text
author SHUM, Kam Hong
author_facet SHUM, Kam Hong
author_sort SHUM, Kam Hong
title Effective Fault Tolerance for Agent-Based Cluster Computing
title_short Effective Fault Tolerance for Agent-Based Cluster Computing
title_full Effective Fault Tolerance for Agent-Based Cluster Computing
title_fullStr Effective Fault Tolerance for Agent-Based Cluster Computing
title_full_unstemmed Effective Fault Tolerance for Agent-Based Cluster Computing
title_sort effective fault tolerance for agent-based cluster computing
publisher Institutional Knowledge at Singapore Management University
publishDate 1999
url https://ink.library.smu.edu.sg/sis_research/1067
http://dx.doi.org/10.1016/S0164-1212(99)00057-6
_version_ 1770570844554133504