Grid computing presents a new trend to distributed and Internet computing to coordinate large scale resources sharing and problem solving in dynamic, multi-institutional virtual organizations. Due to the diverse failures and error conditions in the grid environments, developing, deploying, and executing applications over the grid is a challenge, thus dependability is a key factor for grid computing. This paper presents a dependable grid computing framework, called DRIC, to provide an adaptive failure detection service and a policy-based failure handling mechanism. The failure detection service in DRIC is adaptive to users' QoS requirements and system conditions, and the failure-handling mechanism can be set optimized based on decision-making method by a policy engine. The performance evaluation results show that this framework is scalable, high efficiency and low overhead.
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Hai JIN, Xuanhua SHI, Weizhong QIANG, Deqing ZOU, "DRIC: Dependable Grid Computing Framework" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 2, pp. 612-623, February 2006, doi: 10.1093/ietisy/e89-d.2.612.
Abstract: Grid computing presents a new trend to distributed and Internet computing to coordinate large scale resources sharing and problem solving in dynamic, multi-institutional virtual organizations. Due to the diverse failures and error conditions in the grid environments, developing, deploying, and executing applications over the grid is a challenge, thus dependability is a key factor for grid computing. This paper presents a dependable grid computing framework, called DRIC, to provide an adaptive failure detection service and a policy-based failure handling mechanism. The failure detection service in DRIC is adaptive to users' QoS requirements and system conditions, and the failure-handling mechanism can be set optimized based on decision-making method by a policy engine. The performance evaluation results show that this framework is scalable, high efficiency and low overhead.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.2.612/_p
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@ARTICLE{e89-d_2_612,
author={Hai JIN, Xuanhua SHI, Weizhong QIANG, Deqing ZOU, },
journal={IEICE TRANSACTIONS on Information},
title={DRIC: Dependable Grid Computing Framework},
year={2006},
volume={E89-D},
number={2},
pages={612-623},
abstract={Grid computing presents a new trend to distributed and Internet computing to coordinate large scale resources sharing and problem solving in dynamic, multi-institutional virtual organizations. Due to the diverse failures and error conditions in the grid environments, developing, deploying, and executing applications over the grid is a challenge, thus dependability is a key factor for grid computing. This paper presents a dependable grid computing framework, called DRIC, to provide an adaptive failure detection service and a policy-based failure handling mechanism. The failure detection service in DRIC is adaptive to users' QoS requirements and system conditions, and the failure-handling mechanism can be set optimized based on decision-making method by a policy engine. The performance evaluation results show that this framework is scalable, high efficiency and low overhead.},
keywords={},
doi={10.1093/ietisy/e89-d.2.612},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - DRIC: Dependable Grid Computing Framework
T2 - IEICE TRANSACTIONS on Information
SP - 612
EP - 623
AU - Hai JIN
AU - Xuanhua SHI
AU - Weizhong QIANG
AU - Deqing ZOU
PY - 2006
DO - 10.1093/ietisy/e89-d.2.612
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2006
AB - Grid computing presents a new trend to distributed and Internet computing to coordinate large scale resources sharing and problem solving in dynamic, multi-institutional virtual organizations. Due to the diverse failures and error conditions in the grid environments, developing, deploying, and executing applications over the grid is a challenge, thus dependability is a key factor for grid computing. This paper presents a dependable grid computing framework, called DRIC, to provide an adaptive failure detection service and a policy-based failure handling mechanism. The failure detection service in DRIC is adaptive to users' QoS requirements and system conditions, and the failure-handling mechanism can be set optimized based on decision-making method by a policy engine. The performance evaluation results show that this framework is scalable, high efficiency and low overhead.
ER -